H-infinity control originated from an effort to codify classical control methods, where one shapes frequency response functions for linear systems to meet certain objectives. H-infinity control underwent tremendous development in the 1980s and made considerable strides toward systematizing classical control. This book addresses the next major issue of how this extends to nonlinear systems. At the core of nonlinear control theory lie two partial differential equations (PDEs). One is a first-order evolution equation called the information state equation, which constitutes the dynamics of the controller. One can view this equation as a nonlinear dynamical system. Much of this volume is concerned with basic properties of this system, such as the nature of trajectories, stability, and, most important, how it leads to a general solution of the nonlinear H-infinity control problem.
J. Hammer, “Fractional representations of nonlinear systems: a simplified approach,” Int. J. Control, vol. 46, pp. 455-472, 1987. J. W. Helton and M. R. James. Extending H∞-Control to Nonlinear Systems: Control of Nonlinear Systems to ...
Z .: ' Foundations of the theory of learning systems ' ( Academic Press , New York , 1973 ) TURNBULL , H. W .: ' Theory of equations ' University Mathematical Texts ( Oliver and Boyd , Edinburgh , 1963 ) VAN DER POL , B .: ' Forced ...
A comprehensive overview of nonlinear H∞ control theory for both continuous-time and discrete-time systems, Nonlinear H∞-Control, Hamiltonian Systems and Hamilton-Jacobi Equations covers topics as diverse as singular nonlinear H∞ ...
The book consists mainly of two parts: Chapter 1 - Chapter 7 and Chapter 8 - Chapter 14.
University of Glamorgan: Neural-network-based finitetime H-infinity control for extended Markov jump nonlinear systems “This paper presents a neural-network-based finite-time H-infinity control design technique for a class of extended ...
Nonlinear H [infinity] Control of Nuclear Steam Generators
The book consists mainly of two parts: Chapter 1 - Chapter 7 and Chapter 8 - Chapter 14. Chapter 1 and Chapter 2 treat design techniques based on linearization of nonlinear systems.
This book provides techniques to produce robust, stable and useable solutions to problems of H-infinity and H2 control in high-performance, non-linear systems for the first time.
Systems theory and machine learning methods Gerasimos G. Rigatos. 2.4 Control Based on Approximate ... 2.4.2 The Nonlinear H-Infinity Control ................. 2.4.3 Approximate ... 3.5 The Extended Kalman Filter for Nonlinear Systems.
The book is based on the concept of predictor feedback and infinite-dimensional backstepping transformation for linear systems and the authors guide the reader from the basic ideas of the concept?with constant delays only on the input?all ...