Relevant bibliographies by topics / Adaptive critic designs

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Adaptive critic designs'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Adaptive critic designs"

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Prokhorov, D. V., and D. C. Wunsch. "Adaptive critic designs." IEEE Transactions on Neural Networks 8, no. 5 (September 1997): 997–1007. http://dx.doi.org/10.1109/72.623201.

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Prokhorov, D. V., and D. C. Wunsch. "Corrections To "Adaptive Critic Designs"." IEEE Transactions on Neural Networks 8, no. 6 (November 1997): 1563. http://dx.doi.org/10.1109/tnn.1997.641481.

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Prokhorov, Danil V., Roberto A. Santiago, and Donald C. Wunsch. "Adaptive critic designs: A case study for neurocontrol." Neural Networks 8, no. 9 (January 1995): 1367–72. http://dx.doi.org/10.1016/0893-6080(95)00042-9.

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Mohagheghi, Salman, Ganesh K. Venayagamoorthy, and Ronald G. Harley. "Fully Evolvable Optimal Neurofuzzy Controller Using Adaptive Critic Designs." IEEE Transactions on Fuzzy Systems 16, no. 6 (December 2008): 1450–61. http://dx.doi.org/10.1109/tfuzz.2008.925910.

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Govindhasamy, James J., Seán F. McLoone, George W. Irwin, John J. French, and Richard P. Doyle. "Reinforcement Learning for Online Industrial Process Control." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 1 (January 20, 2005): 23–30. http://dx.doi.org/10.20965/jaciii.2005.p0023.

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Reinforcement learning, in the form of Adaptive Critic Designs (ACDs), have the ability to analyse or evaluate a situation and respond to it accordingly. They offer an excellent alternative for adaptively controlling and optimising the highly nonlinear processes found in industry. Here, an enhanced implementation of the action dependent adaptive critic design (ADAC) of Si and Wang [9] is investigated for modelling and control of an industrial grinding process used in the manufacture of hard disk drive platters. This study, one of the first reported industrial applications of this emerging technology, shows that the proposed ADAC control scheme can achieve a 33% reduction in platter rejects compared to an existing proprietary controller.
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Deb, Alok Kanti, Jayadeva, Madan Gopal, and Suresh Chandra. "SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control." IEEE Transactions on Neural Networks 18, no. 4 (July 2007): 1016–30. http://dx.doi.org/10.1109/tnn.2007.899255.

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Hendzel, Zenon, and Marcin Szuster. "Discrete Action Dependant Heuristic Dynamic Programming in Control of a Wheeled Mobile Robot." Solid State Phenomena 164 (June 2010): 419–24. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.419.

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In presented paper we propose a discrete tracking control algorithm for a two-wheeled mobile robot. The control algorithm consists of discrete Adaptive Critic Design (ACD) in Action Dependant Heuristic Dynamic Programming (ADHDP) configuration, PD controller and a supervisory term, derived from the Lyapunov stability theorem and based on the variable structure systems theory. Adaptive Critic Designs are a group of algorithms that use two independent structures for estimation of optimal value function from Bellman equation and estimation of optimal control law. ADHDP algorithm consists of Actor (ASE - Associate Search Element) that estimates the optimal control law and Critic (ACE - Adaptive Critic Element) that evaluates quality of control by estimation of the optimal value function from Bellman equation. Both structures are realized in a form of Neural Networks (NN). ADHDP algorithm does not require a plant model (the wheeled mobile robot (WMR) model) for ACE or ASE neural network weights update procedure (in contrast with other ACD configurations e.g. Heuristic Dynamic Programming or Dual Heuristic Programming that use the plant model). In presented control algorithm Actor-Critic structure is supported by PD controller and the supervisory term, that guarantee stable implementation of tracking in an initial adaptive critic neural networks learning phase, and robustness in a face of disturbances. Verification of proposed control algorithm was realized on the two-wheeled mobile robot Pioneer-2DX.
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Liu, Derong, and H. Daniel Patiño. "A self-learning ship steering controller based on adaptive Critic Designs." IFAC Proceedings Volumes 32, no. 2 (July 1999): 5070–75. http://dx.doi.org/10.1016/s1474-6670(17)56863-9.

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Xin Xu, Zhongsheng Hou, Chuanqiang Lian, and Haibo He. "Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines." IEEE Transactions on Neural Networks and Learning Systems 24, no. 5 (May 2013): 762–75. http://dx.doi.org/10.1109/tnnls.2012.2236354.

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Yang, Xiong, and Qinglai Wei. "Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System." IEEE Transactions on Industrial Informatics 17, no. 1 (January 2021): 484–93. http://dx.doi.org/10.1109/tii.2020.2972383.

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Dissertations / Theses on the topic "Adaptive critic designs"

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Park, Jung Wook. "Adaptive/optimal neurocontrol based on adaptive critic designs for synchronous generators and facts devices in power systems using artificial neural networks." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/13872.

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Qiao, Wei. "Integrated control of wind farms, facts devices and the power network using neural networks and adaptive critic designs." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/29716.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Ronald G. Harley; Committee Member: David G. Taylor; Committee Member: Deepakraj M. Divan; Committee Member: Ganesh Kumar Venayagamoorthy; Committee Member: Thomas G. Habetler. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Mohagheghi, Salman. "Adaptive Critic Designs Based Neurocontrollers for Local and Wide Area Control of a Multimachine Power System with a Static Compensator." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16216.

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Modern power systems operate much closer to their stability limits than before. With the introduction of highly sensitive industrial and residential loads, the loss of system stability becomes increasingly costly. Reinforcing the power grid by installing additional transmission lines, creating more complicated meshed networks and increasing the voltage level are among the effective, yet expensive solutions. An alternative approach is to improve the performance of the existing power system components by incorporating more intelligent control techniques. This can be achieved in two ways: introducing intelligent local controllers for the existing components in the power network in order to employ their utmost capabilities, and implementing global intelligent schemes for optimizing the performance of multiple local controllers based on an objective function associated with the overall performance of the power system. Both these aspects are investigated in this thesis. In the first section, artificial neural networks are adopted for designing an optimal nonlinear controller for a static compensator (STATCOM) connected to a multimachine power system. The neurocontroller implementation is based on the adaptive critic designs (ACD) technique and provides an optimal control policy over the infinite horizon time of the problem. The ACD based neurocontroller outperforms a conventional controller both in terms of improving the power system dynamic stability and reducing the control effort required. The second section investigates the further improvement of the power system behavior by introducing an ACD based neurocontroller for hierarchical control of a multimachine power system. The proposed wide area controller improves the power system dynamic stability by generating optimal control signals as auxiliary reference signals for the synchronous generators automatic voltage regulators and the STATCOM line voltage controller. This multilevel hierarchical control scheme forces the different controllers throughout the power system to optimally respond to any fault or disturbance by reducing a predefined cost function associated with the power system performance.
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Hanselmann, Thomas. "Approximate dynamic programming with adaptive critics and the algebraic perceptron as a fast neural network related to support vector machines." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0005.

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[Truncated abstract. Please see the pdf version for the complete text. Also, formulae and special characters can only be approximated here. Please see the pdf version of this abstract for an accurate reproduction.] This thesis treats two aspects of intelligent control: The first part is about long-term optimization by approximating dynamic programming and in the second part a specific class of a fast neural network, related to support vector machines (SVMs), is considered. The first part relates to approximate dynamic programming, especially in the framework of adaptive critic designs (ACDs). Dynamic programming can be used to find an optimal decision or control policy over a long-term period. However, in practice it is difficult, and often impossible, to calculate a dynamic programming solution, due to the 'curse of dimensionality'. The adaptive critic design framework addresses this issue and tries to find a good solution by approximating the dynamic programming process for a stationary environment. In an adaptive critic design there are three modules, the plant or environment to be controlled, a critic to estimate the long-term cost and an action or controller module to produce the decision or control strategy. Even though there have been many publications on the subject over the past two decades, there are some points that have had less attention. While most of the publications address the training of the critic, one of the points that has not received systematic attention is training of the action module.¹ Normally, training starts with an arbitrary, hopefully stable, decision policy and its long-term cost is then estimated by the critic. Often the critic is a neural network that has to be trained, using a temporal difference and Bellman's principle of optimality. Once the critic network has converged, a policy improvement step is carried out by gradient descent to adjust the parameters of the controller network. Then the critic is retrained again to give the new long-term cost estimate. However, it would be preferable to focus more on extremal policies earlier in the training. Therefore, the Calculus of Variations is investigated to discard the idea of using the Euler equations to train the actor. However, an adaptive critic formulation for a continuous plant with a short-term cost as an integral cost density is made and the chain rule is applied to calculate the total derivative of the short-term cost with respect to the actor weights. This is different from the discrete systems, usually used in adaptive critics, which are used in conjunction with total ordered derivatives. This idea is then extended to second order derivatives such that Newton's method can be applied to speed up convergence. Based on this, an almost concurrent actor and critic training was proposed. The equations are developed for any non-linear system and short-term cost density function and these were tested on a linear quadratic regulator (LQR) setup. With this approach the solution to the actor and critic weights can be achieved in only a few actor-critic training cycles. Some other, more minor issues, in the adaptive critic framework are investigated, such as the influence of the discounting factor in the Bellman equation on total ordered derivatives, the target interpretation in backpropagation through time as moving and fixed targets, the relation between simultaneous recurrent networks and dynamic programming is stated and a reinterpretation of the recurrent generalized multilayer perceptron (GMLP) as a recurrent generalized finite impulse MLP (GFIR-MLP) is made. Another subject in this area that is investigated, is that of a hybrid dynamical system, characterized as a continuous plant and a set of basic feedback controllers, which are used to control the plant by finding a switching sequence to select one basic controller at a time. The special but important case is considered when the plant is linear but with some uncertainty in the state space and in the observation vector, and a quadratic cost function. This is a form of robust control, where a dynamic programming solution has to be calculated. ¹Werbos comments that most treatment of action nets or policies either assume enumerative maximization, which is good only for small problems, except for the games of Backgammon or Go [1], or, gradient-based training. The latter is prone to difficulties with local minima due to the non-convex nature of the cost-to-go function. With incremental methods, such as backpropagation through time, calculus of variations and model-predictive control, the dangers of non-convexity of the cost-to-go function with respect to the control is much less than the with respect to the critic parameters, when the sampling times are small. Therefore, getting the critic right has priority. But with larger sampling times, when the control represents a more complex plan, non-convexity becomes more serious.
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Liang, Jiaqi. "Wind energy and power system interconnection, control, and operation for high penetration of wind power." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47570.

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High penetration of wind energy requires innovations in different areas of power engineering. Methods for improving wind energy and power system interconnection, control, and operation are proposed in this dissertation. A feed-forward transient compensation control scheme is proposed to enhance the low-voltage ride-through capability of wind turbines equipped with doubly fed induction generators. Stator-voltage transient compensation terms are introduced to suppress rotor-current overshoots and torque ripples during grid faults. A dynamic stochastic optimal power flow control scheme is proposed to optimally reroute real-time active and reactive power flow in the presence of high variability and uncertainty. The performance of the proposed power flow control scheme is demonstrated in test power systems with large wind plants. A combined energy-and-reserve wind market scheme is proposed to reduce wind production uncertainty. Variable wind reserve products are created to absorb part of the wind production variation. These fast wind reserve products can then be used to regulate system frequency and improve system security.
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Rivera, Grant. "Adaptive Critic Design Techniques for Mobile Transmitter Path Planning." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595767.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
In geometrically complex indoor industrial environments, such as factories, health care facilities, or offices, it can be challenging to determine where each telemetry receiver needs to be located to collect data from one or more mobile transmitters. Accurately estimating the areas that each transmitter frequently travels, rarely travels, and quickly travels through, helps to simplify the telemetry system planning problem and establishes which areas may be acceptable to provide marginal coverage. This paper discusses how using A* (A-Star) for transmitter path planning can assist in the telemetry system planning problem.
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Molina, Diogenes. "Intelligent control and system aggregation techniques for improving rotor-angle stability of large-scale power systems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50291.

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A variety of factors such as increasing electrical energy demand, slow expansion of transmission infrastructures, and electric energy market deregulation, are forcing utilities and system operators to operate power systems closer to their design limits. Operating under stressed regimes can have a detrimental effect on the rotor-angle stability of the system. This stability reduction is often reflected by the emergence or worsening of poorly damped low-frequency electromechanical oscillations. Without appropriate measures these can lead to costly blackouts. To guarantee system security, operators are sometimes forced to limit power transfers that are economically beneficial but that can result in poorly damped oscillations. Controllers that damp these oscillations can improve system reliability by preventing blackouts and provide long term economic gains by enabling more extensive utilization of the transmission infrastructure. Previous research in the use of artificial neural network-based intelligent controllers for power system damping control has shown promise when tested in small power system models. However, these controllers do not scale-up well enough to be deployed in realistically-sized power systems. The work in this dissertation focuses on improving the scalability of intelligent power system stabilizing controls so that they can significantly improve the rotor-angle stability of large-scale power systems. A framework for designing effective and robust intelligent controllers capable of scaling-up to large scale power systems is proposed. Extensive simulation results on a large-scale power system simulation model demonstrate the rotor-angle stability improvements attained by controllers designed using this framework.
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Sebusang, Sebusang E. M. "Minimal control synthesis algorithm : safety-critical and a priori design issues." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389031.

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Kurtz, Fabian Markus [Verfasser]. "Design and Performance Evaluation of Adaptive Critical Infrastructure Communications based on Software-Defined Networking / Fabian Markus Kurtz." Düren : Shaker, 2021. http://d-nb.info/1240583982/34.

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Kelly, Brandon J. "Details of the existing informing the design of the new a critical approach to the adaptive-reuse of Watersmeet Farm, South Carolina, creating a Historical Nature Retreat Center /." Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1115181925.

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Thesis (Master of Architecture)--University of Cincinnati, 2005.
Title from electronic thesis title page (viewed Jul. 11, 2006). Includes abstract. Keywords: Rural vernacular; Rural renewal; Rural details; Cultural Landscape; Details. Includes bibliographical references.
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Books on the topic "Adaptive critic designs"

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Baudouin, Simon, and Steve Ball. Normal physiology of the endocrine system. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0249.

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The endocrine system describes an array of chemical signals (hormones). Working in concert with the nervous system, the endocrine system forms a complex neurohumoral network, communicating changes in the environment to facilitate adaptive responses and serving to integrate those responses in a coherent, coordinated manner. The endocrine system has inherent rhythmicity, which has important implications for the integration and coordination of metabolism, and how we measure endocrine signals in clinical settings. At a cellular level, hormone action is mediated through a series of discrete, but interacting signal transduction pathways. This chapter outlines a functional design approach to endocrinology; providing a framework covering the principles of hormone regulation and hormone action—critical for understanding the role of the endocrine system in physiology and pathophysiology.
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West-Eberhard, Mary Jane. Developmental Plasticity and Evolution. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195122343.001.0001.

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The first comprehensive synthesis on development and evolution: it applies to all aspects of development, at all levels of organization and in all organisms, taking advantage of modern findings on behavior, genetics, endocrinology, molecular biology, evolutionary theory and phylogenetics to show the connections between developmental mechanisms and evolutionary change. This book solves key problems that have impeded a definitive synthesis in the past. It uses new concepts and specific examples to show how to relate environmentally sensitive development to the genetic theory of adaptive evolution and to explain major patterns of change. In this book development includes not only embryology and the ontogeny of morphology, sometimes portrayed inadequately as governed by "regulatory genes," but also behavioral development and physiological adaptation, where plasticity is mediated by genetically complex mechanisms like hormones and learning. The book shows how the universal qualities of phenotypes--modular organization and plasticity--facilitate both integration and change. Here you will learn why it is wrong to describe organisms as genetically programmed; why environmental induction is likely to be more important in evolution than random mutation; and why it is crucial to consider both selection and developmental mechanism in explanations of adaptive evolution. This book satisfies the need for a truly general book on development, plasticity and evolution that applies to living organisms in all of their life stages and environments. Using an immense compendium of examples on many kinds of organisms, from viruses and bacteria to higher plants and animals, it shows how the phenotype is reorganized during evolution to produce novelties, and how alternative phenotypes occupy a pivotal role as a phase of evolution that fosters diversification and speeds change. The arguments of this book call for a new view of the major themes of evolutionary biology, as shown in chapters on gradualism, homology, environmental induction, speciation, radiation, macroevolution, punctuation, and the maintenance of sex. No other treatment of development and evolution since Darwin's offers such a comprehensive and critical discussion of the relevant issues. Developmental Plasticity and Evolution is designed for biologists interested in the development and evolution of behavior, life-history patterns, ecology, physiology, morphology and speciation. It will also appeal to evolutionary paleontologists, anthropologists, psychologists, and teachers of general biology.
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Rossen, Eric, ed. Supporting and Educating Traumatized Students. Oxford University Press, 2020. http://dx.doi.org/10.1093/med-psych/9780190052737.001.0001.

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Traumatic or adverse experiences are pervasive among school-aged children and youth. These experiences undermine students’ ability to learn, form relationships, and manage their feelings and behavior. Meanwhile, educators and school-based professionals often remain unaware of the complex needs of their students or how to meet them within the hours of the typical school day, all while possibly dealing with their own stressors. Supporting and Educating Traumatized Students: A Guide for School-Based Professionals provides a practically oriented tool for understanding and assisting students with a history of trauma. Designed specifically for professionals in mental health and education settings, this volume combines content and expertise from practitioners, researchers, and other experts with backgrounds in education, school psychology, school social work, school administration, resilience, school policy, and trauma. The book provides a thorough background on current research in trauma and its impact on school functioning; administrative and policy considerations; and a broad set of practical and implementable strategies and resources for adapting and differentiating instruction, modifying the classroom and school environments, and building competency for students and staff impacted by trauma. Rather than provide complex treatment protocols, the chapters in this book offer simple techniques and strategies designed for all types of educational environments within the context of multiple potential sources of trauma. Supporting and Educating Traumatized Students is an essential resource for classroom teachers, administrators, and school-based professionals, as well as courses that address crisis, trauma, and education across a broad spectrum of specializations.
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Chaiken, Shama, and Brittany Brizendine. Group psychotherapy. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199360574.003.0042.

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Group psychotherapy has become a standard practice in community settings, prisons, and to a lesser degree in jails. While simple process groups may still play a limited role in some settings, the field of group therapy has evolved substantially, with some significant work adapting evidence-based therapies for use in correctional settings, or designing them de novo. Logistics and support of group therapy are critical core elements for successful implementation in jails or prisons. These elements include appropriate training and supervision of group facilitators, a structured approach to patient selection and pre-group interviewing, and appropriate support for cultural and language diversity. The specifics of group member confidentiality and development of groups for patients with severe mental illness, intellectual, or learning disabilities are particularly important in this context. Some of the unique challenges of correctional settings include the need for design of treatment modalities for those in maximum security and restricted housing environments. Gender-specific and trauma-informed care are important treatment options still in evolution for the incarcerated population. Implementation of evidence-based, manual-guided treatment in corrections is challenging but achievable with adequate planning and support. Integration of the recovery model, reentry planning groups, and other special purpose groups are becoming more common. This chapter presents the range of evidence based practices and best practices in use, and discusses issues of appropriate patient selection, therapist training required, sustainability, and outcomes.
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Book chapters on the topic "Adaptive critic designs"

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Zhang, Huaguang, Yanhong Luo, and Derong Liu. "A New Fuzzy Identification Method Based on Adaptive Critic Designs." In Advances in Neural Networks - ISNN 2006, 804–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759966_118.

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Hendzel, Zenon, Andrzej Burghardt, and Marcin Szuster. "Adaptive Critic Designs in Control of Robots Formation in Unknown Environment." In Artificial Intelligence and Soft Computing, 351–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38610-7_33.

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Hendzel, Zenon, and Marcin Szuster. "Discrete Model-Based Adaptive Critic Designs in Wheeled Mobile Robot Control." In Artifical Intelligence and Soft Computing, 264–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13232-2_32.

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Liao, Zehua, and Qinglai Wei. "Adaptive Critic Designs of Optimal Control for Ice Storage Air Conditioning Systems." In Neural Information Processing, 180–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04239-4_16.

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Koprinkova-Hristova, Petia, and Guenther Palm. "Adaptive Critic Design with ESN Critic for Bioprocess Optimization." In Artificial Neural Networks – ICANN 2010, 438–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15822-3_54.

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Witte, Thomas E. F., Jonas Hasbach, Jessica Schwarz, and Verena Nitsch. "Towards Iteration by Design: An Interaction Design Concept for Safety Critical Systems." In Adaptive Instructional Systems, 228–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50788-6_17.

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Wang, Ding, and Chaoxu Mu. "Overview of Robust Adaptive Critic Control Design." In Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems, 1–43. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1253-3_1.

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Allen, Tania. "Experiential and adaptive design thinking." In Solving Critical Design Problems, 19–38. New York : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429398872-3.

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He, Haibo, Zhen Ni, and Dongbin Zhao. "Learning and Optimization in Hierarchical Adaptive Critic Design." In Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, 78–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118453988.ch4.

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Koprinkova-Hristova, Petia. "Adaptive Critic Design and Heuristic Search for Optimization." In Large-Scale Scientific Computing, 248–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43880-0_27.

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Conference papers on the topic "Adaptive critic designs"

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Venayagamoorthy, G. K., D. C. Wunsch, and R. G. Harley. "Neurocontrol of turbogenerators with adaptive critic designs." In 1999 IEEE Africon. 5th Africon Conference in Africa. IEEE, 1999. http://dx.doi.org/10.1109/afrcon.1999.820927.

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Jing Xu, Wen-Sheng Yu, and Fei-Yue Wang. "Ramp metering based on adaptive critic designs." In 2006 IEEE Intelligent Transportation Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/itsc.2006.1707441.

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Werbos, Paul J. "Stable adaptive control using new critic designs." In Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, edited by Thomas Lindblad, Mary Lou Padgett, and Jason M. Kinser. SPIE, 1999. http://dx.doi.org/10.1117/12.343068.

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Venayagamoorthy, G. K. "Choice of utility functions for adaptive critic designs." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1254689.

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Xiaofeng, Lin, Ye Weibao, Song Chunning, and Song Shaojian. "A Control Algorithm Base on Adaptive Critic Designs." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4346799.

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Xu, Jing, Fu-Ming Liang, and Wen-Sheng Yu. "Learning with Eligibility Traces in Adaptive Critic Designs." In 2006 IEEE International Conference on Vehicular Electronics and Safety. IEEE, 2006. http://dx.doi.org/10.1109/icves.2006.371605.

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Liu, D., and H. D. Patino. "Adaptive critic designs for self-learning ship steering control." In Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014). IEEE, 1999. http://dx.doi.org/10.1109/isic.1999.796628.

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Lin, Xiaofeng, Tangbo Liu, Shaojian Song, and Chunning Song. "Neuro-controller of cement rotary kiln temperature with adaptive critic designs." In 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). IEEE, 2009. http://dx.doi.org/10.1109/adprl.2009.4927551.

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Mohagheghi, Salman, Ganesh Venayagamoorthy, and Ronald Harley. "Adaptive Critic Designs Based Coupled Neurocontrollers for a Static Compensator." In IEEE International Symposium on Intelligent Control. IEEE, 2006. http://dx.doi.org/10.1109/isic.2006.285597.

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Song, Chunning, and Xiaohua Zhou. "Adaptive critic designs based neurocontroller for rectifier in HVDC system." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057398.

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Reports on the topic "Adaptive critic designs"

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Mai Phuong, Nguyen, Hanna North, Duong Minh Tuan, and Nguyen Manh Cuong. Assessment of women’s benefits and constraints in participating in agroforestry exemplar landscapes. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21015.pdf.

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Abstract:
Participating in the exemplar landscapes of the Developing and Promoting Market-Based Agroforestry and Forest Rehabilitation Options for Northwest Vietnam project has had positive impacts on ethnic women, such as increasing their networks and decision-making and public speaking skills. However, the rate of female farmers accessing and using project extension material or participating in project nurseries and applying agroforestry techniques was limited. This requires understanding of the real needs and interests grounded in the socio-cultural contexts of the ethnic groups living in the Northern Mountain Region in Viet Nam, who have unique social and cultural norms and values. The case studies show that agricultural activities are highly gendered: men and women play specific roles and have different, particular constraints and interests. Women are highly constrained by gender norms, access to resources, decision-making power and a prevailing positive-feedback loop of time poverty, especially in the Hmong community. A holistic, timesaving approach to addressing women’s daily activities could reduce the effects of time poverty and increase project participation. As women were highly willing to share project information, the project’s impacts would be more successful with increased participation by women through utilizing informal channels of communication and knowledge dissemination. Extension material designed for ethnic women should have less text and more visuals. Access to information is a critical constraint that perpetuates the norm that men are decision-makers, thereby, enhancing their perceived ownership, whereas women have limited access to information and so leave final decisions to men, especially in Hmong families. Older Hmong women have a Vietnamese (Kinh) language barrier, which further prevents them from accessing the project’s material. Further research into an adaptive framework that can be applied in a variety of contexts is recommended. This framework should prioritize time-saving activities for women and include material highlighting key considerations to maintain accountability among the project’s support staff.
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