Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)

<p>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. The book is of importance to control designers working in a variety of industrial systems. Case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs is explained. </p>

Computers & Technology

Abu-Khalaf, Murad

HUANG, JIE

Lewis, Frank L.

Certification

Springer

Computer Science

In this book, approximate dynamic programming (ADP) designs based on adaptive critic structures are developed to solve the discrete-time optimal control problems in which the state and action spaces are continuous. This work considers linear discrete-time systems as well as nonlinear discrete- time systems that are affine in the input. This work resulted in forward-in-time reinforcement learning algorithms that converge to the solution of the Generalized Algebraic Riccati Equation (GARE) for linear systems. For the nonlinear case, a forward-in-time reinforcement learning algorithm is presented that converges to the solution of the associated Hamilton-Jacobi Bellman equation (HJB).

DISCRETE-TIME CONTROL ALGORITHMS DESIGN: DISCRETE-TIME CONTROL ALGORITHMS AND ADAPTIVE INTELLIGENT SYSTEMS DESIGNS

Engineering & Transportation

Lewis, Frank

Al Tamimi, Asma

Engineering

VDM Verlag Dr. Müller

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