NEW BOOK

 Applied Optimal Control and Estimation:  Digital Design and Implementation
 F. L. Lewis
 Publisher:  Prentice-Hall (TI Digital Signal Processing Series)

     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