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Most popular at the top
- Elsevier Science 1996; US$ 215.00
"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory." --IEEE Group Correspondence "This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control." --Control more...
- Elsevier Science 1996; US$ 216.00
Praise for the Series: "This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory." --IEEE Group Correspondence "This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."... more...
- Elsevier Science 2004; US$ 121.00
Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and implementations of numerically-viable algorithms based on well-established, efficient and stable modern numerical linear techniques for mathematical problems arising in the design and analysis of linear control systems... more...
- Elsevier Science 2010; US$ 240.00
This book provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control. It contains an advanced mathematical tool which serves as a fundamental basis for both instructors and students who study or actively work in Modern Automatic Control or in its applications. It is includes proofs... more...
- Springer 2007; US$ 179.00
Provides an introduction to algebraic control for nonlinear systems. This book, divided into two parts, offers necessary methodology and applications to control problems. It presents an alternative linear-algebraic strategy based on the use of vector spaces over suitable fields of nonlinear functions. more...
- Springer Berlin Heidelberg 2007; US$ 109.00
Because the theoretical part of the book is based on the calculus of variations, the exposition is very transparent and requires mostly a trivial mathematical background. In the case of open-loop optimal control, this leads to Pontryagin?s Minimum Principle and, in the case of closed-loop optimal control, to the Hamilton-Jacobi-Bellman theory which... more...
- Springer 2008; US$ 149.00
This research monograph develops the Hamilton-Jacobi-Bellman theory via dynamic programming principle for a class of optimal control problems for stochastic hereditary differential equations (SHDEs) driven by a standard Brownian motion and with a bounded or an infinite but fading memory. These equations represent a class of stochastic infinite-dimensional... more...
- Springer 2007; US$ 159.00
Nonlinear and Adaptive Control with Applications provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms... more...
- Wiley 2008; US$ 118.00
Andrea Saltelli, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Fulvia Pennoni, Marco Ratto, Michaela Saisana, Stefano Tarantola – Joint Research Centre of the European Commission, Ispra, Unit of Applied Statistics and Econometrics. Presently leading the Econometric and Applied Statistics Unit of the Joint Research Centre, lead... more...
- Springer 2008; US$ 189.00
Deals with the fresh methods of control for complex dynamical systems and with nonlinear control systems having several degrees of freedom, subjected to unknown disturbances, and containing uncertain parameters. This book contains an introduction to the theory of optimal control and the theory of stability of motion. more...