
Control, Identification, and Input Optimization by Robert Kalaba
This book is a self-contained text devoted to the numerical determination of optimal inputs for system identification. It presents the current state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in- vestigators. The authors' interest in optimal inputs first developed when F. E. Yates, an eminent physiologist, expressed the need for optimal or preferred inputs to estimate physiological parameters. The text assumes no previous knowledge of optimal control theory, numerical methods for solving two-point boundary-value problems, or system identification. As such it should be of interest to students as well as researchers in control engineering, computer science, biomedical en- gineering, operations research, and economics. In addition the sections on beam theory should be of special interest to mechanical and civil en- gineers and the sections on eigenvalues should be of interest to numerical analysts. The authors have tried to present a balanced viewpoint; however, primary emphasis is on those methods in which they have had first-hand experience. Their work has been influenced by many authors. Special acknowledgment should go to those listed above as well as R. Bellman, A. Miele, G. A. Bekey, and A. P. Sage. The book can be used for a two-semester course in control theory, system identification, and optimal inputs.-
Problems and Methods of Optimal Structural Design
-
Principles of Optimal Control Theory
-
Multicriteria Optimization in Engineering and in the Sciences
-
Real and Functional Analysis
-
Optimal Control of Distributed Nuclear Reactors
-
Structural Optimization
-
Applied Optimal Control Theory of Distributed Systems
-
Multicriteria Decision Making and Differential Games
-
Unified Plasticity for Engineering Applications
-
Nonlinear Effects in Fluids and Solids
-
Constrained Optimization and Image Space Analysis
-
Advanced Design Problems in Aerospace Engineering
-
Principles and Procedures of Numerical Analysis
-
Principles of Engineering Mechanics
-
Optimal Control Applications in Electric Power Systems
-
Applications of Functional Analysis in Engineering
-
Mathematical Principles of Mechanics and Electromagnetism
-
Applied Mathematics in Aerospace Science and Engineering
-
Theory and Applications of Partial Differential Equations
-
Integral Transforms in Science and Engineering
-
Solution Methods for Integral Equations
-
Applied Probability
-
Introduction to the Laplace Transform
-
The Calculus of Variations and Optimal Control
-
Numerical Solution of Integral Equations
-
Mathematical Logic
-
Dynamical Systems and Evolution Equations
-
Advances in Geometric Programming
-
Differential Equations with Small Parameters and Relaxation Oscillations
-
Topology and Maps
-
Dynamic Optimization and Mathematical Economics
-
Applied Mathematics
-
Numerical Derivatives and Nonlinear Analysis
-
Optimal Long-Term Operation of Electric Power Systems
| SKU | Unavailable |
| ISBN 13 | 9781468476644 |
| ISBN 10 | 1468476645 |
| Title | Control, Identification, and Input Optimization |
| Author | Robert Kalaba |
| Series | Mathematical Concepts And Methods In Science And Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2012-12-12 |
| Number of pages | 442 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

































