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An Engineering Approach to Optimal Control and Estimation Theory

Optimal control and optimal estimation are methods used to estimate unknown variables such as velocity and altitude, and are essential to;

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Linear and Non-Linear System Theory

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an;

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Robust Control Design: An Optimal Control Approach

Approach will be of interest to those needing an introductory textbook on robust control theory, design and applications as well as graduate and;

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Optimal State Estimation

-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a;

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Optimal Control and Estimation

"An excellent introduction to optimal control and estimation theory and its relationship with LQG design. . . . invaluable as a reference;

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Computational Optimal Control

advanced case-study approach to the topic, Computational Optimal Control: Tools and Practice provides an essential handbook for practising;

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Disturbance Observer-Based Control

approach. It considers applications in flight control systems, motion control systems, and process control systems. Supplies an;

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Disturbance Observer-Based Control

approach. It considers applications in flight control systems, motion control systems, and process control systems. Supplies an authoritative;

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A Relaxation-Based Approach to Optimal Control of Hybrid and Switched Systems

A Relaxation Based Approach to Optimal Control of Hybrid and Switched Systems proposes a unified approach to effective and numerically;

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Adaptive Filtering Prediction and Control

estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter;

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Optimal Control

Geared toward advanced undergraduate and graduate engineering students, this text introduces the theory and applications of optimal control;

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Controlled Markov Processes and Viscosity Solutions

This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity;

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Applied Linear Optimal Control Paperback with CD-ROM

in utilizing the theory of optimal control to solve practical problems in the face of uncertainty. Topics covered include random inputs and random;

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Optimal Control of Stochastic Difference Volterra Equations

their past history; it is an introduction to the mathematical theory of optimal control for stochastic difference Volterra equations of neutral;

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Optimal Estimation of Dynamic Systems

, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees;

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Uncertain Optimal Control

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value;

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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems begins with an introduction and extensive literature survey;

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Estimation Problems in Hybrid Systems

simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to;

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Estimation Problems in Hybrid Systems

simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to;

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Predictive Filtering for Microsatellite Control System

filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically;

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Encyclopedia of Mathematics and its Applications Control Theory for Partial Differential Equations

continuous theory and numerical approximation theory are included. The authors use an abstract space, operator theoretic approach, which is based on;

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Encyclopedia of Mathematics and its Applications Control Theory for Partial Differential Equations

continuous theory and numerical approximation theory are included. The authors use an abstract space, operator theoretic approach, which is based on;

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Optimal and Robust Estimation

today's high-performance systems. A Classic Revisited Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second;

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Control Theory for Partial Differential Equations

continuous theory and numerical approximation theory are included. The authors use an abstract space, operator theoretic approach, which is based on;

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Optimal Estimation Of Parameters

This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a generalized maximum;

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Robust Output LQ Optimal Control via Integral Sliding Modes

useful and practical optimal control with very few impractical assumptions. The results presented allow optimal control theory to grow in its;

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Periodic Systems

optimal and robust control. The text focuses on discrete-time signals and systems; however, an overview of the entire field, including the;

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