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Stability of the Turnpike Phenomenon in Discrete Time Optimal Control Problems

close to the endpoints. This book also explores the turnpike phenomenon for two large classes of autonomous optimal control problems. It;

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Optimal Control Problems Arising in Mathematical Economics

turnpike phenomenon under small perturbations of objective functions and constraint maps. The second class of autonomous optimal control problems;

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Optimal Control Problems Related to the Robinson Solow Srinivasan Model

control problems, and turnpike conditions are established. The stability of the turnpike phenomenon for this class of problems is investigated;

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Optimal Control Problems Related to the Robinson Solow Srinivasan Model

control problems, and turnpike conditions are established. The stability of the turnpike phenomenon for this class of problems is investigated;

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Turnpike Conditions in Infinite Dimensional Optimal Control

This book provides a comprehensive study of turnpike phenomenon arising in optimal control theory. The focus is on individual (non-generic;

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Turnpike Theory for the Robinson-Solow-Srinivasan Model

This book is devoted to the study of a class of optimal control problems arising in mathematical economics, related to the Robinson-Solow;

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Nonconvex Optimal Control and Variational Problems

contains a number of results concerning well-posedness of optimal control and variational problems, nonoccurrence of the Lavrentiev phenomenon for;

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Infinite-Horizon Optimal Control in the Discrete-Time Framework

In this book the authors take a rigorous look at the infinite-horizon discrete-time optimal control theory from the viewpoint;

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Dynamic Systems with Time Delays Stability and Control

This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic;

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Optimal Control Theory

This book focuses on how to implement optimal control problems via the variational method. It studies how to implement the extrema;

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Optimal Control Theory

This book focuses on how to implement optimal control problems via the variational method. It studies how to implement the extrema;

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Optimal Networked Control Systems with MATLAB

formulation for linear systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear;

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Optimal Networked Control Systems With MATLAB

systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic;

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Dynamical Model and Optimal Control

the first elements of Calculus of Variations, the variational formulation of the most common problems in deterministic Optimal Control, both;

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Numerical Control: Part a: Volume 23

-dimensional control systems, Moments and convex optimization for analysis and control of nonlinear PDEs, The turnpike property in optimal control;

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Discrete-Time Inverse Optimal Control for Nonlinear Systems

a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The;

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Discrete-Time Inverse Optimal Control for Nonlinear Systems

a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The;

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Neural Network Control of Nonlinear Discrete-Time Systems

, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman formulation. The author concludes by developing a;

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

- multiplicative systems and covers the issues of stability, control and estimation of the systems in the H sense, for both continuous-time and discrete;

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Impulsive Control in Continuous and Discrete-Continuous Systems

in nonlinear systems. This is a new branch of the Optimal Control Theory, which is tightly connected to the Theory of Hybrid Systems. The text;

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Advances in Power System Modelling, Control and Stability Analysis

insights on optimal power flow, real-time control and state estimation techniques. Finally, Part 3 describes advances in the stability analysis;

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Linear Control Theory

its extensions, the edge theorem, and the mapping theorem. Focusing on the optimal control of linear systems, the third part discusses the;

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Optimal Control

Unique in scope, Optimal Control: Weakly Coupled Systems and Applications provides complete coverage of modern linear, bilinear, and;

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Periodic Systems

robust stability; the problem of state estimation in its various forms, filtering, prediction and smoothing; control design methods, particularly;

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Stability Regi Of Nonlinear Dynami Syst

characterisations. Optimal schemes for estimating stability regions of general nonlinear dynamical systems are also covered, and finally the authors;

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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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Discrete Control Systems

Discrete Control Systems establishes a basis for the analysis and design of discretized/quantized control systems for continuous physical;

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