Dissipative Systems Analysis And Control Theory And Applications Pdf


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Dissipative Systems Analysis and Control


Dissipative Systems Analysis and Control

Author: Bernard Brogliato

language: en

Publisher: Springer

Release Date: 2019-07-03


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The third edition of the now standard Dissipative Systems Analysis and Control presents a revised and expanded treatment of dissipative systems theory, constituting a self-contained, advanced introduction for graduate students, researchers and practising engineers. It examines linear, nonlinear and nonsmooth systems, with many examples in each chapter; occasional infinite-dimensional examples are also included. Throughout, emphasis is placed on the use of the dissipative properties of a system for the design of stable and robust feedback control laws or state observers. The theory is substantiated by experimental results and by reference to its application in illustrative physical cases (Lagrangian systems, passivity-based and adaptive controllers are covered thoroughly). The third edition is substantially updated to accommodate new material within the existing chapter structure. The additions include: · the introduction of negative imaginary transfer functions; · the design of stable state observers that use passivity as a tool for their stability analysis; · a new section on robust set-valued control of uncertain Lagrangian systems; · extended section on discrete-time systems, especially the preservation of dissipativity after discretization; . a thorough treatment of nonsmooth set-valued Lur'e systems well-posednees and stability; . an extended chapter on the Kalman–Yakubovich–Popov Lemma; and . over 1000 references.

Nonlinear Systems and Matrix Analysis - Recent Advances in Theory and Applications


Nonlinear Systems and Matrix Analysis - Recent Advances in Theory and Applications

Author: Peter Chen

language: en

Publisher: BoD – Books on Demand

Release Date: 2024-11-27


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Nonlinear system analysis is of interest to engineers, sociologists, physicists, mathematicians, and many other scientists since most systems are inherently nonlinear in nature. In mathematics, a nonlinear system does not satisfy the superposition principle such as in a linear system. Therefore, the theories underlining nonlinear analysis and their applications need to be developed on their own merit. The first section of this book is a collection of examples reporting recent advances in both theory and applications of nonlinear system analysis. The contents of each chapter will provide in-depth foresight to interested readers. As numerical linearization to a set of matrix equations is still the principal method used to solve a nonlinear system, matrix analysis is the topic of the second section of this book. The matrices have invaded practically all areas of mathematics, the experimental and social sciences, engineering, and technology. This volume updates purely mathematical theoretical aspects, and it also presents concrete examples of the wide range of applications of matrix theory in other disciplines.

Control Systems and Reinforcement Learning


Control Systems and Reinforcement Learning

Author: Sean Meyn

language: en

Publisher: Cambridge University Press

Release Date: 2022-06-09


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A how-to guide and scientific tutorial covering the universe of reinforcement learning and control theory for online decision making.