Applied Optimal Control and Estimation / Edition 1

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Overview

This book covers optimal design for multi-input/multi-output (MIMO) systems, providing not only the theoretical background, but also practical implementation techniques for control and estimation algorithms. Real-time implementation methods for a wide range of industries and control problems are detailed, including control of computer disk drives, chemical process control, and aircraft control. The book puts modern control design tools - based on solving matrix equation - well within the reach of the individual design engineer. You'll see how to design control systems using software programs, simulate these controllers on digital controllers, and then implement digital controllers on actual processors using digital signal processors (DSPs). Appropriate

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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted January 4, 2006

    TOC

    A new textbook for a graduate course on Digital Control and Estimation contains many design and simulation examples, including programs in FORTRAN V. Covers controller and estimator implementation on the TI TMS320 C25 Digital Signal Processor, including implementation examples. No prerequisites in optimal control and estimation will be needed, as they are covered. Therefore, could be used as well for a combined course on Optimal Control and Kalman Filtering. A disk is available from the author. CONTENTS PART I- INTRODUCTION 1. Introduction to Modern Control Theory 1.1 A Brief History of Automatic Control 1.2 The Philosophy of Classical Control 1.3 The Philosophy of Modern Control 2. Review of State-Variable Systems 2.1 Continuous-Time Systems 2.2 Discrete-Time Systems 2.3 System Properties 2.4 Realization and Canonical Forms 2.5 Feedback Control PART II- CONTINUOUS-TIME CONTROL 3. Optimal Control of Continuous-Time Systems 3.1 The General Continuous-Time Optimal Control Problem 3.2 Continuous-Time Linear Quadratic Regulator 3.3 Steady-State and Suboptimal Control 3.4 Minimum-Time and Constrained-Input Design 4. Output-Feedback Design 4.1 Linear Quadratic Regulator With Output Feedback 4.2 Tracking a Reference Input 4.3 Tracking By Regulator Redesign 4.4 Command Generator Tracker 4.5 Explicit Model-Following Design PART III- DIGITAL CONTROL 5. Digital Control By Continuous Controller Redesign 5.1 Simulation of Digital Controllers 5.2 Discretization of Continuous Controllers 5.3 Sampling, Hold Devices, and Computation Delay 5.4 Minimum-Time Control 6. Implementation of Digital Controllers 6.1 Actuator Saturation and Windup 6.2 Quantization and Roundoff 6.3 Overflow and Scaling 6.4 Controller Realization Structures 6.5 Digital Signal Processor Subroutines 6.6 Digital Signal Processor Control Implementation Example 7. Digital Control By Direct Discrete-Time Design 7.1 Discretization of Continuous Systems 7.2 Discretization of the Performance Index 7.3 Practical Considerations in Sampling 7.4 Discrete Design Techniques PART IV- FREQUENCY-DOMAIN TECHNIQUES 8. Robust Design 8.1 Multivariable Loop Gain and Sensitivity 8.2 Multivariable Bode Plot 8.3 Frequency-Domain Performance Specifications 8.4 Robust Output-Feedback Design PART V- OBSERVERS, FILTERS, AND REGULATORS 9. State Estimators 9.1 Output-Injection Observer Design 9.2 Reduced-Order Observers 9.3 Discrete Kalman Filter 9.4 Digital Filtering of Continuous-Time Systems 9.5 Continuous Kalman Filter 10. Multivariable Dynamic Compensator Design 10.1 Linear-Quadratic-Gaussian Design 10.2 LQG/Loop-Transfer Recovery Robust Design Appendix A. Computer Software Appendix B. Review of Matrix Algebra Appendix C. Review of Probability Theory Appendix D. The Texas Instruments TMS320C25 Digital Signal Processor

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  • Anonymous

    Posted March 10, 2010

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