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1

Mandic, Danilo P. Complex valued nonlinear adaptive filters: Noncircularity, widely linear, and neural models. Hoboken, N.J: Wiley, 2009.

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2

Nassirharand, Amir. Computer-aided nonlinear control system design: Using describing function models. London: Springer, 2012.

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3

Läuter, Matthias. Grossäumige Zirkulationsstrukturen in einem nichtlinearen adaptiven atmosphärenmodell =: Large-scale circulation structures in a nonlinear adaptive model of the atmosphere. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 2005.

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4

service), SpringerLink (Online, ed. Delay compensation for nonlinear, adaptive, and PDE systems. Boston, Mass: Birkhäuser, 2009.

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5

Lewis, Peter A. W. Nonlinear modeling of time series using Multivariate Adaptive Regression Splines (MARS). Monterey, Calif: Naval Postgraduate School, 1990.

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6

Zourntos, Takis. Nonlinear adaptive control based on the related model. Ottawa: National Library of Canada, 1996.

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7

Luo, W. Adaptive model selection and estimation for nonlinear systems using a sliding data window. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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8

United States. National Aeronautics and Space Administration., ed. Adaptive performance seeking control using fuzzy model reference learning control and positive gradient control. Washington, DC: National Aeronautics and Space Administration, 1997.

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9

Mandic, Danilo, and Vanessa (Su Lee) Goh. Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models. Wiley & Sons, Limited, John, 2009.

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10

Mandic, Danilo P., and Vanessa Su Lee Goh. Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models. Wiley & Sons, Incorporated, John, 2009.

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11

Ogunfunmi, Tokunbo. Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches. Springer, 2010.

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12

van Vianen, Annelies E. M., and Ute-Christine Klehe. New Economy Careers Demand Adaptive Mental Models and Resources. Edited by Ute-Christine Klehe and Edwin van Hooft. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764921.013.014.

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Volatile economic and labor market circumstances have significant effects on the development of people’s work careers; thus recent literature on careers has started to take into account the reality of increasingly unpredictable, nonlinear, and inherently uncertain careers. In this chapter we argue that careers in the new economy require, first, that people learn to cope with identity threats; second, that they need to change their mental models of careers; and third, that they must develop the resources to adapt to more frequent and unpredictable career transitions. Specifically we address three themes that we consider at the core of adaptation to nonlinear careers: people’s work-related identities, their conceptualization of career success, and their adaptability resources. We build a model called “identity and coping during career transitions” (ICCT), which integrates theories on identity, careers, and adaptability and could serve as an agenda for future research. Finally, we provide some guidelines for practitioners and organizations.
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13

Nassirharand, Amir. Computer-aided Nonlinear Control System Design: Using Describing Function Models. Springer, 2014.

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14

Ogunfunmi, Tokunbo. Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology). Springer, 2007.

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15

T. Sengul, S. Celik, E. Eyduran, and F. Iqbal*. Predicting egg production in Chukar partridges using nonlinear models and multivariate adaptive regression splines (MARS) algorithm. Verlag Eugen Ulmer, 2020. http://dx.doi.org/10.1399/eps.2020.302.

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16

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology). Springer, 2007.

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17

Bean, Ronnie A. Nonlinear control of high performance aircraft. 1994.

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18

Robust And Adaptive Model Predictive Control Of Nonlinear Systems. Institution of Engineering & Technology (IET), 2012.

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19

Adetola, Veronica, Darryl DeHaan, and Martin Guay. Robust and Adaptive Model Predictive Control of Nonlinear Systems. Institution of Engineering & Technology, 2016.

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20

Button, Chris, Ludovic Seifert, Jia Yi Chow, Duarte Araújo, and Keith Davids. Dynamics of Skill Acquisition. 2nd ed. Human Kinetics, 2021. http://dx.doi.org/10.5040/9781718214125.

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Dynamics of Skill Acquisition, Second Edition, provides an analysis of the processes underlying human skill acquisition. As the first text to outline the multidisciplinary ecological dynamics framework for understanding movement behavior, this heavily updated edition stays on the cutting edge, with principles of nonlinear pedagogy and methodologies from the constraints-led approach. Students and practitioners across a variety of professions—including coaches, physical educators, trainers, and rehabilitation specialists—will appreciate the applied focus of this second edition. Movement models throughout the text provide examples for visualizing task constraints and enhancing the study and understanding of movement behavior. Athletes and sports teams are presented as specific complex adaptive systems, with information on designing learning environments and adapting programs to foster skill development. Readers will learn the historical evolution of dynamical systems theory and the ecological dynamics framework. These foundational concepts illustrate the integration between intentional action, cognition, and decision making and their effects on performance and behavior. Complex theoretical concepts are explained in simple terms and related to practice, focusing on the implications of the work of pioneering researchers such as Nikolai Bernstein, Egon Brunswik, James Gibson, Scott Kelso, and Karl Newell. Case studies written by practitioners contain specific examples of the ecological dynamics framework in action, bringing theory to life. By learning how to identify and manipulate key constraints that influence learning skilled behavior, readers will gain insight into practice designs for creating positive learning experiences that enable individuals to develop and learn functional movements. Throughout the book, learning features guide readers through material with clear direction and focus to improve understanding. Spotlight on Research sidebars provide detailed descriptions of important studies to connect theory, research, and application. Lab activities teach application skills beyond the content, ensuring reader understanding. In addition, chapter objectives, self-test questions, and Key Concept sidebars highlight important concepts in each chapter. With the study of human movement now bridging many disciplines, including motor development, psychology, biology, and physical therapy, Dynamics of Skill Acquisition, Second Edition, provides a timely analysis of the ecological dynamics framework and presents a comprehensive model for understanding how coordination patterns are assembled, controlled, and acquired. The theoretical roots and development of the ecological dynamics framework provide application strategies for all people with an interest in movement coordination and control. AUDIENCE An upper-level undergraduate or graduate textbook for courses in human movement and skill acquisition. A professional reference for movement practitioners and scientists, including teachers, coaches, trainers, physical educators, physical therapists, rehabilitation specialists, sport scientists, psychologists, biomechanists, sport analysts and physiologists.
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