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EBookClubs

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Book Extensions of Linear Quadratic Control  Optimization and Matrix Theory

Download or read book Extensions of Linear Quadratic Control Optimization and Matrix Theory written by and published by Academic Press. This book was released on 2000-04-01 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering

Book Extensions of Linear quadratic Control Theory

Download or read book Extensions of Linear quadratic Control Theory written by David H. Jacobson and published by Springer. This book was released on 1980 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Extensions of Linear Quadratic Control Theory

Download or read book Extensions of Linear Quadratic Control Theory written by D. H. Jacobson and published by Springer. This book was released on 2014-03-12 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Extensions of Linear quadratic Control Theory

Download or read book Extensions of Linear quadratic Control Theory written by David J. Clements and published by . This book was released on 1975 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Extensions of Linear quadratic Control  Optimization and Matrix Theory

Download or read book Extensions of Linear quadratic Control Optimization and Matrix Theory written by and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Extension of Linear quadratic Control  Optimization and Matrix Theory

Download or read book Extension of Linear quadratic Control Optimization and Matrix Theory written by D. H. Jacobson and published by . This book was released on 1977 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Linear Quadratic Optimal Control Theory  Open Loop and Closed Loop Solutions

Download or read book Stochastic Linear Quadratic Optimal Control Theory Open Loop and Closed Loop Solutions written by Jingrui Sun and published by Springer Nature. This book was released on 2020-06-29 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an important aspect of stochastic control. It presents the results in the context of finite and infinite horizon problems, and discusses a number of new and interesting issues. Further, it precisely identifies, for the first time, the interconnections between three well-known, relevant issues – the existence of optimal controls, solvability of the optimality system, and solvability of the associated Riccati equation. Although the content is largely self-contained, readers should have a basic grasp of linear algebra, functional analysis and stochastic ordinary differential equations. The book is mainly intended for senior undergraduate and graduate students majoring in applied mathematics who are interested in stochastic control theory. However, it will also appeal to researchers in other related areas, such as engineering, management, finance/economics and the social sciences.

Book Optimal Control

Download or read book Optimal Control written by Brian D. O. Anderson and published by Courier Corporation. This book was released on 2007-02-27 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerous examples highlight this treatment of the use of linear quadratic Gaussian methods for control system design. It explores linear optimal control theory from an engineering viewpoint, with illustrations of practical applications. Key topics include loop-recovery techniques, frequency shaping, and controller reduction. Numerous examples and complete solutions. 1990 edition.

Book Linear Control Theory

Download or read book Linear Control Theory written by Shankar P. Bhattacharyya and published by CRC Press. This book was released on 2018-10-03 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major areas of control engineering (PID control, robust control, and optimal control). It provides balanced coverage of elegant mathematical theory and useful engineering-oriented results. The first part of the book develops results relating to the design of PID and first-order controllers for continuous and discrete-time linear systems with possible delays. The second section deals with the robust stability and performance of systems under parametric and unstructured uncertainty. This section describes several elegant and sharp results, such as Kharitonov’s theorem and its extensions, the edge theorem, and the mapping theorem. Focusing on the optimal control of linear systems, the third part discusses the standard theories of the linear quadratic regulator, Hinfinity and l1 optimal control, and associated results. Written by recognized leaders in the field, this book explains how control theory can be applied to the design of real-world systems. It shows that the techniques of three term controllers, along with the results on robust and optimal control, are invaluable to developing and solving research problems in many areas of engineering.

Book Linear Quadratic Control

Download or read book Linear Quadratic Control written by Peter Dorato and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an introduction to Linear-Quadratic (LQ) Control theory. The theory is augmented with practical design problems using MATLAB software for numerical solutions, thus the text should also be of interest to practicing engineers. There are homework problems at the end of each chapter.

Book Extension of Linear Quadratic Regulator Theory and Its Applications

Download or read book Extension of Linear Quadratic Regulator Theory and Its Applications written by Abdu-Nasser Mouadeb and published by . This book was released on 1992 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, we extend the Linear Quadratic Regulatory theory to the following;

Book Extension of Linear Quadratic Regulator Theory and Its Applications

Download or read book Extension of Linear Quadratic Regulator Theory and Its Applications written by Abdu-Nasser Mouadeb and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, we extend the Linear Quadratic Regulatory theory to the following.

Book Extentions of Linear quadratic Control Theory

Download or read book Extentions of Linear quadratic Control Theory written by David Harris Jacobson and published by . This book was released on 1980 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book On Extending Linear Quadratic Control Theory to Non symmetric Risky Objectives

Download or read book On Extending Linear Quadratic Control Theory to Non symmetric Risky Objectives written by P. Caravani and published by . This book was released on 1986 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Autonomous Linear Quadratic Control Problem

Download or read book The Autonomous Linear Quadratic Control Problem written by Volker L. Mehrmann and published by Lecture Notes in Control and Information Sciences. This book was released on 1991 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey is given on the state of the art in theory and numerical solution of general autonomous linear quadratic optimal control problems (continuous and discrete) with differential algebraic equation constraints. It incorporates the newest developments on differential algebraic equations, Riccati equations and invariant subspace problems. In particular, it gives a decision chart of numerical methods, that can be used to determine the right numerical method according to special properties of the problem. The book closes a gap between mathematical theory, numerical solution and engineering application. The mathematical tools are kept as basic as possible in order to address the different groups of readers, mathematicians and engineers.

Book Stochastic Linear Quadratic Optimal Control Theory  Differential Games and Mean Field Problems

Download or read book Stochastic Linear Quadratic Optimal Control Theory Differential Games and Mean Field Problems written by Jingrui Sun and published by Springer Nature. This book was released on 2020-06-29 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an important aspect of stochastic control. It presents results for two-player differential games and mean-field optimal control problems in the context of finite and infinite horizon problems, and discusses a number of new and interesting issues. Further, the book identifies, for the first time, the interconnections between the existence of open-loop and closed-loop Nash equilibria, solvability of the optimality system, and solvability of the associated Riccati equation, and also explores the open-loop solvability of mean-filed linear-quadratic optimal control problems. Although the content is largely self-contained, readers should have a basic grasp of linear algebra, functional analysis and stochastic ordinary differential equations. The book is mainly intended for senior undergraduate and graduate students majoring in applied mathematics who are interested in stochastic control theory. However, it will also appeal to researchers in other related areas, such as engineering, management, finance/economics and the social sciences.

Book Optimal Control

Download or read book Optimal Control written by Frank L. Lewis and published by John Wiley & Sons. This book was released on 2012-02-01 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years. An abundance of computer simulations using MATLAB and relevant Toolboxes is included to give the reader the actual experience of applying the theory to real-world situations. Major topics covered include: Static Optimization Optimal Control of Discrete-Time Systems Optimal Control of Continuous-Time Systems The Tracking Problem and Other LQR Extensions Final-Time-Free and Constrained Input Control Dynamic Programming Optimal Control for Polynomial Systems Output Feedback and Structured Control Robustness and Multivariable Frequency-Domain Techniques Differential Games Reinforcement Learning and Optimal Adaptive Control