Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Uncertainty presents significant challenges in the reasoning about and controlling of complex dynamical systems. To address this challenge, numerous researchers are developing improved methods for stochastic analysis. This book presents a diverse collection of some of the latest research in this important area. In particular, this book gives an overview of some of the theoretical methods and tools for stochastic analysis, and it presents the applications of these methods to problems in systems theory, science, and economics.

Stochastic control theory. --- Control theory --- Stochastic processes --- Mathematical modelling

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A trend of investigation of Nonlinear Control Systems has been present over the last few decades. As a result the methods for its analysis and design have improved rapidly. This book includes nonlinear design topics such as Feedback Linearization, Lyapunov Based Control, Adaptive Control, Optimal Control and Robust Control. All chapters discuss different applications that are basically independent of each other. The book will provide the reader with information on modern control techniques and results which cover a very wide application area. Each chapter attempts to demonstrate how one would apply these techniques to real-world systems through both simulations and experimental settings.

Nonlinear control theory. --- Control theory --- Nonlinear theories --- Automatic control engineering

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Praise for Previous Volumes ""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

Discrete-time systems. --- Control theory.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Observers are digital algorithms that combine sensor outputs with knowledge of the system to provide results superior to traditional structures, which rely wholly on sensors. Observers have been used in selected industries for years, but most books explain them with complex mathematics. This book uses intuitive discussion, software experiments, and supporting analysis to explain the advantages and disadvantages of observers. If you are working in controls and want to improve your control systems, observers could be the technology you need and this book will give you a clear, thorough explanati

Observers (Control theory). --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Observers (Control theory) --- Observability (Control theory) --- State estimator (Control theory) --- State observer (Control theory) --- Control theory --- Engineering --- General and Others

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume contains papers presented at the IFAC symposium on Modeling and control of Economic Systems (SME 2001), which was held at the university of Klagenfurt, Austria. The symposium brought together scientists and users to explore current theoretical developments of modeling techniques for economic systems. It contains a section of plenary, invited and contributed papers presented at the SME 2001 symposium. The papers presented in this volume reflect advances both in methodology and in applications in the area of modeling and control of economic systems.

Economics --- Economics, Mathematical --- Control theory --- Mathematical models