Starting with a background on differential equations, this accessible text examines nonlinear dynamical systems and nonlinear control systems, including basic results in nonlinear parameter optimization and parametric two–player games. Lyapunov stability theory and control system design are discussed in detail, followed by in–depth coverage of the controllability minimum principle and other important controllability concepts. The optimal control (Pontryagin′s) minimum principle is developed and then applied to optimal control problems and the design of optimal controllers.
Nonlinear and Optimal Control Systems features examples and exercises taken from a wide range of disciplines and contexts––from engineering control designs to biological, economic, and other systems. Numerical algorithms are provided for solving problems in optimization and control, as well as simulation of systems using nonlinear differential equations. Readers may choose to develop their own code from these algorithms or solve problems with the help of commercial software programs.
Providing readers with a sturdy foundation in nonlinear and optimal control system design and application, this new resource is a valuable asset to advanced students and professional engineers in many different fields.
An integrated approach to the fundamentals of nonlinear and optimal control systems. This self–contained text provides a solid introduction to the analysis techniques used in the design of nonlinear and optimal feedback control systems. Building on thorough coverage of the basic concepts of stability, controllability, and optimality, the book develops highly effective feedback controllers for stability, function minimizing control, optimal control, and two–player differential games.
Concepts are illustrated throughout with examples that represent a range of disciplines and design contexts, bridging theory and application for advanced students and practicing engineers in many different fields. The book features:
∗ An accessible introduction to nonlinear system dynamics
∗ Lyapunov stability theory and control system design
∗ Controllability of nonlinear systems, including in–depth treatment of the controllability minimum principle and Pontryagin′s minimum principle
∗ Optimal control systems and design using Pontryagin′s minimum principle
∗ Differential games and design concepts––qualitative and quantitative games, Isaacs′ min–max principle, and more
∗ Numerical algorithms for control, optimization, and simulation of nonlinear dynamical systems
Nonlinear Control Systems.
Lyapunov Control System Design.
Controllability of Nonlinear Systems.
Optimal Control Systems.
Optimal Control Design.