Bibliografie tematiche / Quadratic stabilization

Letteratura scientifica selezionata sul tema "Quadratic stabilization"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 gennaio 2023

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Articoli di riviste sul tema "Quadratic stabilization"

Balandin, D. V., e M. M. Kogan. "Optimal robust linear-quadratic stabilization". Differential Equations 43, n. 11 (novembre 2007): 1611–15. http://dx.doi.org/10.1134/s001226610711016x.

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Ji, Zhijian, Long Wang * e Guangming Xie. "Quadratic stabilization of switched systems". International Journal of Systems Science 36, n. 7 (10 giugno 2005): 395–404. http://dx.doi.org/10.1080/00207720500140003.

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YASUDA, Kazunori. "Quadratic Stability and Quadratic Stabilization of Linear Descriptor Systems". Transactions of the Society of Instrument and Control Engineers 35, n. 2 (1999): 208–12. http://dx.doi.org/10.9746/sicetr1965.35.208.

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Wu Jian-Rong. "Quadratic stability and quadratic stabilization for singular system families". Acta Physica Sinica 53, n. 2 (2004): 325. http://dx.doi.org/10.7498/aps.53.325.

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YADAV, KIRAN, e A. K. MALIK. "An Orthogonal Stabilization of Quadratic and Generalized Quadratic Functional Equations". Journal of Ultra Scientist of Physical Sciences Section A 31, n. 8 (26 agosto 2019): 69–78. http://dx.doi.org/10.22147/jusps-a/310801.

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SUZUKI, Masayuki, Shigeaki KOBAYASHI e Yoshinori ANDO. "Quadratic Stabilization of Singularly Perturbed Systems". Transactions of the Society of Instrument and Control Engineers 32, n. 11 (1996): 1493–500. http://dx.doi.org/10.9746/sicetr1965.32.1493.

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Khlebnikov, M. V. "Quadratic stabilization of bilinear control systems". Automation and Remote Control 77, n. 6 (giugno 2016): 980–91. http://dx.doi.org/10.1134/s0005117916060047.

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UEZATO, Eiho, e Masao IKEDA. "Quadratic stabilization of Linear Descriptor systems". Transactions of the Institute of Systems, Control and Information Engineers 9, n. 7 (1996): 313–21. http://dx.doi.org/10.5687/iscie.9.313.

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Yasuda, K. "Decentralized Quadratic Stabilization of Interconnected Systems". IFAC Proceedings Volumes 26, n. 2 (luglio 1993): 499–502. http://dx.doi.org/10.1016/s1474-6670(17)48991-9.

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Dong, YaLi, JiaoJiao Fan e ShengWei Mei. "Quadratic stabilization of switched nonlinear systems". Science in China Series F: Information Sciences 52, n. 6 (giugno 2009): 999–1006. http://dx.doi.org/10.1007/s11432-009-0111-z.

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Più fonti

Tesi sul tema "Quadratic stabilization"

Patek, Stephen D. (Stephen David). "Robust H[infinity] control via quadratic stabilization". Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12276.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
On t.p., "[infinity]" appears subscript, as the mathematical symbol.
Includes bibliographical references (leaves 126-129).
by Stephen David Patek.
M.S.

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Zhang, Fan [Verfasser], Dirk [Akademischer Betreuer] Söffker e Jörg [Akademischer Betreuer] Raisch. "Cognition-Oriented Quadratic Stabilization of Unknown Nonlinear Systems : [[Elektronische Ressource]] : A Data-Driven Quadratic Stability Criterion and its Application / Fan Zhang. Gutachter: Jörg Raisch. Betreuer: Dirk Söffker". Duisburg, 2011. http://d-nb.info/1018612041/34.

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Xue, Linfeng. "Theoretical Characterization of Internal Resonance in Micro-Electro-Mechanical Systems (MEMS)". The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1593296130150349.

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Nyberg, Patrik. "Stabilization, Sensor Fusion and Path Following for Autonomous Reversing of a Full-Scale Truck and Trailer System". Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130545.

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This thesis investigates and implements the sensor fusion necessary to autonomously reverse a full size truck and trailer system. This is done using a LiDAR mounted on the rear of the truck along with a RTK-GPS. It is shown that the relative angles between truck-dolly and dolly-trailer can be estimated, along with global position and global heading of the trailer. This is then implemented in one of Scania's test vehicles, giving it the ability to continuously estimate these states. A controller is then implemented, showing that the full scale system can be stabilised in reverse motion. The controller is tested both on a static reference path and a reference path received from a motion planner. In these tests, the controller is able to stabilise the system well, allowing the truck to do complex manoeuvres backwards. A small lateral tracking error is present, which needs to be further investigated.

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Jaadari, Abdelhafidh. "Systèmes quasi-LPV continus : comment dépasser le cadre du quadratique ?" Phd thesis, Université de Valenciennes et du Hainaut-Cambresis, 2013. http://tel.archives-ouvertes.fr/tel-00865634.

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Cette thèse aborde le problème de l'analyse de la stabilité et de la conception des lois de commande pour les systèmes non linéaires mis sous la forme de modèles flous continus de type Takagi-Sugeno. L'analyse de stabilité est généralement basée sur la méthode directe de Lyapunov. Plusieurs approches existent dans la littérature, basées sur des fonctions de Lyapunov quadratiques sont proposées pour résoudre ce problème, les résultats obtenus à l'aide des telles fonctions introduisent un conservatisme qui peut être très préjudiciable. Pour surmonter ce problème, différentes approches basées sur des fonctions de Lyapunov non quadratiques ont été proposées, néanmoins ces approches sont basées sur desconditions très restrictives. L'idée développée dans ce travail est d'utiliser des fonctions de Lyapunov non quadratiques et des contrôleurs non-PDC afin d'en tirer des conditions de stabilité et de stabilisation moins conservatives. Les propositions principales sont : l'utilisation des bornes locales des dérivées partielles au lieu des dérivés des fonctions d'appartenances, le découplage du gain du régulateur des variables de décision de la fonction Lyapunov, l'utilisation des fonctions de Lyapunov floues polynomiales dans l'environnement des polynômes et la proposition de la synthèse de contrôleur vérifiant certaines limites de dérivés respectées dans une région de la modélisation à la place de les vérifier a posteriori. Ces nouvelles approches permettent de proposer des conditions locales afin de stabiliser les modèles flous continus de type T-S, y compris ceux qui n'admettent pas une stabilisation quadratique et obtenir des domaines de stabilité plus grand. Plusieurs exemples de simulation sont choisis afin de vérifier les résultats présentésdans cette thèse.

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Yeh, Hsin-lin, e 葉信麟. "Non-Quadratic Lyapunov Stabilization Discrete-time case". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/58015979254919595959.

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碩士
國立中央大學
機械工程學系
101
In this thesis, we investigate a non-quadratic stabilization problem of discrete-time Takagi- Sugeno (T-S) fuzzy systems by means of homogeneous polynomially parameter-dependent (HPPD) functions, exploiting the algebraic property of Pólya to construct a family of matrixvalued HPPD functions that releases conservatism, assuring existence to non-quadratic Lyapunov functions. The obtained stabilization conditions, characterized by parameter-dependent LMIs (PD-LMIs), are further relaxed by using the proposed right-hand side slackness. A solution technique is proposed through the SOS decomposition of positive semideﬁnite matrixvalued polynomials. That is, we transform the PD-LMIs based on non-quadratic Lyapunov method into SOS matrix polynomials and then apply matrix RHS relaxation with semi-deﬁnite programming searching for a feasible solution to PD-LMIs. Lastly, numerical experiments to illustrate the advantage of RHS relaxation, being less conservative and eﬀective, are provided.

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Li, Jia-hong, e 李家洪. "Stabilization Analysis for Non-quadratic Continuous-time Fuzzy Control Systems". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/95995510717293583060.

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碩士
國立中央大學
機械工程研究所
100
In this thesis, we investigate non-quadratic ralaxation for continuous-time robust control systems and continuous-time fuzzy control systems, which are characterized by parameter-dependent LMIs (PD-LMIs), exploiting the algebraic property of Polya Theorem to construct a family of finite-dimensional LMI relaxations with righ-hand-side slack matrices that release conservatism. Lastly, numerical experiments to illustrate the advantage of relaxations, being less conservative and effective, are provided. it keyword: Robust control systems; Takagi-Sugeno fuzzy control systems; Non-quadratic relaxations; Parameter-dependent LMIs (PD-LMIs); Polya Theorem; Slack matrices; Linear matrix inequality (LMI).

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Wu, Chen-yu, e 吳鎮宇. "Non-quadratic Stabilization Analysis for Observed-State Feedback Fuzzy Control". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/97825773723314063564.

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碩士
國立中央大學
機械工程學系
101
In this thesis, we investigate non-quadratic relaxation for continuous-time fuzzy observed-state feedback control systems, which are characterized by parameter-dependent LMIs (PD-LMIs), exploiting the algebraic property of Polya Theorem to construct a family of finite-dimensional LMI relaxation with righ-hand-side slack matrices that release conservatism. And we use matrix-values HPPD function of degree g on Lyapunov function that release conservatism. Lastly, Numerical experiments illustrate this method can provide the advantage of relaxations, being less conservative and effective.

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Liu, Yung-Sheng, e 劉永勝. "Quadratic Stabilization Analysis and H∞ Controller Design for T-S Fuzzy Systems". Thesis, 2004. http://ndltd.ncl.edu.tw/handle/65397393060384980672.

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碩士
國立高雄應用科技大學
電機工程系碩士班
92
This thesis proposes a new approach to establish a more relaxed quadratic stabilization and to design an H∞ controller for T-S fuzzy control systems. All conditions are represented in the form of linear matrix inequalities (LMIs). The key ideal for developing all results is the so-called “three-index combination”. A rigorous mathematical proof is given to show that the proposed conditions can include previous results as special cases. In comparison with existing conditions, the proposed ones are suitable for not only designing fuzyy state feedback controllers design and fuzzy observer-based feedback controllers but also fuzzy static output feedback controller design. The latter design work is quite hard for T-S fuzzy control systems. At the end of each subsection, some practical examples are given to illustrate the theroretical result presented in this subsection.

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Haimovich, Hernan. "Quantisation Issues in Feedback Control". Thesis, 2006. http://hdl.handle.net/1959.13/24692.

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Systems involving quantisation arise in many areas of engineering, especially when digital implementations are involved. In this thesis we consider different aspects of quantisation in feedback control systems. We study two topics of interest: (a) quantisers that quadratically stabilise a given system and are efficient in the use of their quantisation levels and (b) the derivation of ultimate bounds for perturbed systems, especially when the perturbations arise from the use of quantisers. In the first part of the thesis we address problem (a) above. We consider quadratic stabilisation of discrete-time multiple-input systems by means of quantised static feedback and we measure the efficiency of a quantiser via the concept of quantisation density. Intuitively, the lower the density of a quantiser is, the more separated its quantisation levels are. We thus deal with the problem of optimising density over all quantisers that quadratically stabilise a given system with respect to a given control Lyapunov function. Most of the available results on this problem treat single-input systems, and the ones that deal with the multiple-input case consider only two-input systems. In this thesis, we derive several new results for multiple-input systems and also provide an alternative approach to deal with the single-input case. Our new results for multiple-input systems include the derivation of the structure of optimal quantisers and the explicit design of multivariable quantisers with finite density that are able to quadratically stabilise systems having an arbitrary number of inputs. For single-input systems, we provide an alternative approach to the analysis and design of optimal quantisers by establishing a link between the separation of the quantisation levels of a quantiser and the size of its quantisation regions. In the second part of the thesis we address problem (b) above. In the presence of perturbations, asymptotic stabilisation may not be possible. However, there may exist a bounded region that contains the equilibrium point and has the property that the system trajectories converge to this bounded region. When this bounded region exists, we say that the system trajectories are ultimately bounded, and that this bounded region is an ultimate bound for the system. The size of the ultimate bound quantifies the performance of the system in steady state. Hence, it is important to derive ultimate bounds that are as tight as possible. This part of the thesis addresses the problem of ultimate bound computation in settings involving several scalar quantisers, each having different features. We consider each quantised variable in the system to be a perturbed copy of the corresponding unquantised variable. This turns the original quantised system into a perturbed system, where the perturbation has a natural \emph{componentwise} bound. Moreover, according to the type of quantiser employed, the perturbation bound may depend on the system state. Typical methods to estimate ultimate bounds are based on the use of Lyapunov functions and usually require a bound on the norm of the perturbation. Applying these methods in the setting considered here may disregard important information on the structure of the perturbation bound. We therefore derive ultimate bounds on the system states that explicitly take account of the componentwise structure of the perturbation bound. The ultimate bounds derived also have a componentwise form, and can be systematically computed without having to, e.g. select a suitable Lyapunov function for the system. The results of this part of the thesis, though motivated by quantised systems, apply to more general perturbations, not necessarily arising from quantisation.
PhD Doctorate

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Capitoli di libri sul tema "Quadratic stabilization"

Da Prato, Giuscppe, e Michel Delfour. "Linear quadratic control problem without stabilizability". In Stabilization of Flexible Structures, 126–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0005151.

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Mabrouk, Abdelileh, Olfa Ksentini, Nabih Feki, Mohamed Slim Abbes e Mohamed Haddar. "Optimal Linear Quadratic Stabilization of a Magnetic Bearing System". In Applied Condition Monitoring, 145–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76517-0_17.

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Moodi, Hoda, Jimmy Lauber, Thierry Marie Guerra e Mohamad Farrokhi. "Non-quadratic Stabilization for T-S Systems with Nonlinear Consequent Parts". In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 528–38. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08852-5_54.

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Dockner, Engelbert, e Reinhard Neck. "Cooperative and Non-Cooperative Solutions for a Linear- Quadratic Differential Game Model of Stabilization Policies". In Analysis and Optimization of Systems, 807–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0007608.

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Deville, Yannick, e Shahram Hosseini. "Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme". In Latent Variable Analysis and Signal Separation, 237–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_30.

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Banerjee, Ramashis, Arnab Pal, Aritra Sinha e Debottam Mukherjee. "Stabilization of Cart-Pole System-A Linear Quadratic Gaussian Control and Robust H-infinity Control Design and Comparative Approach". In Lecture Notes in Electrical Engineering, 831–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9019-1_71.

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"Optimal Control of Linear Equations and Quadratic Quality Criteria". In Stabilization of Programmed Motion, 191–228. CRC Press, 2000. http://dx.doi.org/10.1201/9781482282931-11.

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Varshavsky, L. E. "Stabilizing The Structure Of Social Systems Under External Perturbations". In Theory and Practice of Institutional Reforms in Russia [Text]: Collection of Scientific Works. CEMI Russian Academy of Sciences, 2021. http://dx.doi.org/10.33276/978-5-8211-0799-2-68-76.

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The article examines an example of using a one-group model of the kinetics of nuclear reactors in the study of stabilizing the structure of social systems. Approaches to stabilization of the original bilinear system are investigated by reducing it to a linear system and using the results of the theory of linear-quadratic regulators. On the basis of computer experiments, the influence of the coefficients of the conditional model of the social system and of control parameters on the quality of stabilizing its structure is analyzed.

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Bhat, Tufail Ahmad, e Majid Hameed Koul. "Fabrication and Stabilization of a Low-Cost Rotary-Inverted Pendulum Setup (STRIPS 1.0)". In Trends, Paradigms, and Advances in Mechatronics Engineering, 205–22. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5887-7.ch011.

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This paper presents the fabrication and Stabilization of a low-cost in-house developed Rotary Inverted Pendulum Setup (STRIPS 1.0), commonly known as a Furuta Pendulum. The developed setup consists of a base frame on which an arm is mounted to allow rotary motion in the horizontal plane and a pendulum link subsequently mounted on the other end of the arm to allow rotation in the vertical plane. Essentially the setup possesses 2- DOF (Degrees of Freedom); however, since the actuation is provided at the arm axis only, the setup behaves as an under-actuated one. Owing to the inherently unstable nature of these under-actuated systems, full-state feedback and an LQR (Linear Quadratic Regulator) controller are designed and implemented, which maintain the pendulum link in the upright position even if disturbed about its linear region of control. In particular, a set of gains are chosen for a particular performance criterion and implemented using a MATLAB interface with the micro-controller on the developed setup, allowing a restricted arm movement.

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Atti di convegni sul tema "Quadratic stabilization"

Hashimoto, Tomoaki, Takashi Amemiya e Hironori Fujii. "Fundamental Equivalence between Delay Independent Stabilization and Quadratic Stabilization". In 2006 SICE-ICASE International Joint Conference. IEEE, 2006. http://dx.doi.org/10.1109/sice.2006.315253.

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Khlebnikov, Mikhail V. "Quadratic stabilization of bilinear control systems". In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330539.

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Chang, Yufang, Bo Fu e Guisheng Zhai. "Quadratic Stabilization of Switched Uncertain Linear Systems". In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407949.

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Peng Yuping e Sun Zhendong. "Non-quadratic stabilization of switched linear systems". In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605880.

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Shafai, B., e A. Oghbaee. "Positive quadratic stabilization of uncertain linear system". In 2014 IEEE Conference on Control Applications (CCA). IEEE, 2014. http://dx.doi.org/10.1109/cca.2014.6981522.

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Dietl, John M., e Ephrahim Garcia. "Ornithopter Trajectory Generation With Stabilization". In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-615.

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Ornithopter flight dynamics and a method for developing flight trajectories are described. These are used to study the unstable modes in hovering ornithopter flight. Stabilization is accomplished through three strategies: pitch-rate feedback control, linear quadratic regulator, and discrete-time periodic linear quadratic regulator. The discrete time controller is the only controller tested that was capable of stabilizing position of the vehicle in hover.

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Zhengyu, Liu, Han Jianghong, Zhang Li e Guo Qijun. "Quadratic Stabilization of Discrete Interval 2-D Systems". In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347613.

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Hassibi, A., e S. Boyd. "Quadratic stabilization and control of piecewise-linear systems". In Proceedings of the 1998 American Control Conference (ACC). IEEE, 1998. http://dx.doi.org/10.1109/acc.1998.703296.

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Simpson-Porco, John W., Florian Dorfler e Francesco Bullo. "Voltage stabilization in microgrids via quadratic droop control". In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6761093.

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Mushtaq, Talha, Peter J. Seiler e Maziar Hemati. "Feedback stabilization of incompressible flows using quadratic constraints". In AIAA AVIATION 2022 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2022. http://dx.doi.org/10.2514/6.2022-3773.

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