**Linear Optimal Control**

by B.D.O. Anderson, J.B. Moore

**Publisher**: Prentice Hall 1971**ISBN/ASIN**: 0135368707**ISBN-13**: 9780135368701**Number of pages**: 413

**Description**:

The aim of this book is to construct one of many bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control theory. Many modern control results do have practical engineering significance, as distinct from applied mathematical significance. Linear systems are very heavily emphasized.

Download or read it online for free here:

**Download link**

(17MB, PDF)

## Similar books

**Stochastic Optimal Control: The Discrete-Time Case**

by

**Dimitri P. Bertsekas, Steven E. Shreve**-

**Athena Scientific**

This research monograph is the authoritative and comprehensive treatment of the mathematical foundations of stochastic optimal control of discrete-time systems, including the treatment of the intricate measure-theoretic issues.

(

**14091**views)

**Modeling, Simulation and Optimization: Tolerance and Optimal Control**

by

**Shkelzen Cakaj**-

**InTech**

Topics covered: parametric representation of shapes, modeling of dynamic continuous fluid flow process, plant layout optimal plot plan, atmospheric modeling, cellular automata simulations, thyristor switching characteristics simulation, etc.

(

**17009**views)

**Optimal Control: Linear Quadratic Methods**

by

**B.D.O. Anderson, J.B. Moore**-

**Prentice-Hall**

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.

(

**22590**views)

**An Introduction to Mathematical Optimal Control Theory**

by

**Lawrence C. Evans**-

**University of California, Berkeley**

Contents: Introduction; Controllability, bang-bang principle; Linear time-optimal control; The Pontryagin Maximum Principle; Dynamic programming; Game theory; Introduction to stochastic control theory; Proofs of the Pontryagin Maximum Principle.

(

**14940**views)