Control systems theory with engineering applications / Sergey Edward Lyshevski.
Lyshevski, Sergey Edward.| Call Number | 629.8 L98C |
| Author | Lyshevski, Sergey Edward. |
| Title | Control systems theory with engineering applications / Sergey Edward Lyshevski. |
| Publication | Boston : Birkhauser, 2001. |
| Physical Description | xi, 416 p. : ill. ; 24 cm. +1 computer optical disc (4 3/4 in.) |
| Contents | Machine generated contents note: 1. Introduction: Modeling, Identification, Optimization, -- and Control -- 2. Mathematical Model Developments -- 2.1. Engineering Systems and Models-- 2.2. Basic Principles in Model Developments-- 2.2.1. Newtonian Mechanics-- 3. Modeling of Dynamic Systems using MATLAB and SIMULINK -- 3.1. Engineering Computations Using MATLAB-- 3.2. Analysis and Modeling of Dynamic Systems Using MATLAB. -- 4. Analysis and Control of Linear Dynamic Systems -- 4.1. Introduction: Analysis of Multivariable Continuous- and -- Discrete-Time Systems-- 4.2. Continuous-Time Dynamic Systems and Analog Controllers-- 4.2.1. Control Bounds-- 4.3. Control of Dynamic Systems Using Digital PID Control Laws. -- 4.4. Hamilton-Jacobi and Lyapunov Methods in Optimal Control of -- Continuous-Time Systems-- 4.4.1. The Hamilton-Jacobi Theory and Optimal Control-- 4.4.2. The Lyapunov Theory and Optimal Control-- 4.5. Pole Placement Design by Using State Feedback-- 4.5.1. Control of a Servo-System with Permanent-Magnet -- DC Motor-- 4.6. Control of Discrete-Time Systems Using the -- Hamilton-Jacobi Theory-- 4.6.1. Linear Quadratic Regulator Problem-- 4.6.2. Constrained Optimization of Discrete-Time Systems-- 4.6.3. Tracking Control of Discrete-Time Systems-- 5. Analysis, Identification, and Control of -- Nonlinear Dynamic Systems -- 5.1. Nonlinear Analysis of Dynamic Systems-- 5.2. State-Space Nonlinear Identification-- 5.2.1. Least-Squares Identification-- 5.2.2. Time-Domain, Nonlinear, Mapping-Based Identification. -- 5.3. Design of Stabilizing Controllers Using the Lyapunov Theory. -- 5.3.1. Lyapunov Stability Theory and Design of Control Laws-- 5.3.2. Design of the Constrained Controllers for Uncertain -- Nonlinear Systems Using the Lyapunov Stability Theory. -- 5.4. Optimization of Continuous-Time Systems-- 5.4.1. Optimization of Time-Invariant Systems-- 5.4.2. Constrained Optimization of Time-Varying Systems-- 5.4.3. Optimal Control of Nonlinear Continuous-Time -- Systems: Design of Bounded Controllers Via -- Generalized Nonquadratic Functionals-- 5.4.4. Tracking Control of Continuous-Time Systems-- 5.4.5. Robust Control of Nonlinear Continuous-Time Systems-- 5.4.6. Robust Tracking Control of Nonlinear Systems-- 5.5. Sliding Mode Control-- 5.6. Control of Discrete-Time Systems-- 5.6.1. Tracking Control-- 5.6.2. Constrained Optimization-- 5.7. Nonlinear Control of Permanent-Magnet Synchronous Motors. -- 5.7.1. Nonlinear Motor Dynamics-- 5.7.2. Feedback Linearization and Control-- 5.7.3. The Lyapunov-Based Approach-- 5.7.4. Analytical and Numerical Results-- 5.8. Case Study in Nonlinear Control of Multivariable Systems: -- Motion Control of Induction Motors-- 5.8.1. Mathematical Models of Induction Motors-- 5.8.2. Control of Induction Motors-- 5.8.3. Control of a Three-Phase Squirrel Cage Induction Motor: -- Analytical and Experimental Results-- 5.9. Control of Servo-Systems With Permanent-Magnet DC Motors-- 5.9.1. Proportional-Integral Control-- 5.9.2. Tracking Integral Control-- 5.9.3. Relay (Time-Optimal) Control-- 5.9.4. Sliding Mode Control with Soft Switching. |
| Subject | AUTOMATIC CONTROL. CONTROL THEORY. |
| Multimedia |
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$a Machine generated contents note: 1. Introduction: Modeling, Identification, Optimization, -- and Control -- 2. Mathematical Model Developments -- 2.1. Engineering Systems and Models-- 2.2. Basic Principles in Model Developments-- 2.2.1. Newtonian Mechanics-- 3. Modeling of Dynamic Systems using MATLAB and SIMULINK -- 3.1. Engineering Computations Using MATLAB-- 3.2. Analysis and Modeling of Dynamic Systems Using MATLAB. -- 4. Analysis and Control of Linear Dynamic Systems -- 4.1. Introduction: Analysis of Multivariable Continuous- and -- Discrete-Time Systems-- 4.2. Continuous-Time Dynamic Systems and Analog Controllers-- 4.2.1. Control Bounds-- 4.3. Control of Dynamic Systems Using Digital PID Control Laws. -- 4.4. Hamilton-Jacobi and Lyapunov Methods in Optimal Control of -- Continuous-Time Systems-- 4.4.1. The Hamilton-Jacobi Theory and Optimal Control-- 4.4.2. The Lyapunov Theory and Optimal Control-- 4.5. Pole Placement Design by Using State Feedback-- 4.5.1. Control of a Servo-System with Permanent-Magnet -- DC Motor-- 4.6. Control of Discrete-Time Systems Using the -- Hamilton-Jacobi Theory-- 4.6.1. Linear Quadratic Regulator Problem-- 4.6.2. Constrained Optimization of Discrete-Time Systems-- 4.6.3. Tracking Control of Discrete-Time Systems-- 5. Analysis, Identification, and Control of -- Nonlinear Dynamic Systems -- 5.1. Nonlinear Analysis of Dynamic Systems-- 5.2. State-Space Nonlinear Identification-- 5.2.1. Least-Squares Identification-- 5.2.2. Time-Domain, Nonlinear, Mapping-Based Identification. -- 5.3. Design of Stabilizing Controllers Using the Lyapunov Theory. -- 5.3.1. Lyapunov Stability Theory and Design of Control Laws-- 5.3.2. Design of the Constrained Controllers for Uncertain -- Nonlinear Systems Using the Lyapunov Stability Theory. -- 5.4. Optimization of Continuous-Time Systems-- 5.4.1. Optimization of Time-Invariant Systems-- 5.4.2. Constrained Optimization of Time-Varying Systems-- 5.4.3. Optimal Control of Nonlinear Continuous-Time -- Systems: Design of Bounded Controllers Via -- Generalized Nonquadratic Functionals-- 5.4.4. Tracking Control of Continuous-Time Systems-- 5.4.5. Robust Control of Nonlinear Continuous-Time Systems-- 5.4.6. Robust Tracking Control of Nonlinear Systems-- 5.5. Sliding Mode Control-- 5.6. Control of Discrete-Time Systems-- 5.6.1. Tracking Control-- 5.6.2. Constrained Optimization-- 5.7. Nonlinear Control of Permanent-Magnet Synchronous Motors. -- 5.7.1. Nonlinear Motor Dynamics-- 5.7.2. Feedback Linearization and Control-- 5.7.3. The Lyapunov-Based Approach-- 5.7.4. Analytical and Numerical Results-- 5.8. Case Study in Nonlinear Control of Multivariable Systems: -- Motion Control of Induction Motors-- 5.8.1. Mathematical Models of Induction Motors-- 5.8.2. Control of Induction Motors-- 5.8.3. Control of a Three-Phase Squirrel Cage Induction Motor: -- Analytical and Experimental Results-- 5.9. Control of Servo-Systems With Permanent-Magnet DC Motors-- 5.9.1. Proportional-Integral Control-- 5.9.2. Tracking Integral Control-- 5.9.3. Relay (Time-Optimal) Control-- 5.9.4. Sliding Mode Control with Soft Switching.
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| Contents | Machine generated contents note: 1. Introduction: Modeling, Identification, Optimization, -- and Control -- 2. Mathematical Model Developments -- 2.1. Engineering Systems and Models-- 2.2. Basic Principles in Model Developments-- 2.2.1. Newtonian Mechanics-- 3. Modeling of Dynamic Systems using MATLAB and SIMULINK -- 3.1. Engineering Computations Using MATLAB-- 3.2. Analysis and Modeling of Dynamic Systems Using MATLAB. -- 4. Analysis and Control of Linear Dynamic Systems -- 4.1. Introduction: Analysis of Multivariable Continuous- and -- Discrete-Time Systems-- 4.2. Continuous-Time Dynamic Systems and Analog Controllers-- 4.2.1. Control Bounds-- 4.3. Control of Dynamic Systems Using Digital PID Control Laws. -- 4.4. Hamilton-Jacobi and Lyapunov Methods in Optimal Control of -- Continuous-Time Systems-- 4.4.1. The Hamilton-Jacobi Theory and Optimal Control-- 4.4.2. The Lyapunov Theory and Optimal Control-- 4.5. Pole Placement Design by Using State Feedback-- 4.5.1. Control of a Servo-System with Permanent-Magnet -- DC Motor-- 4.6. Control of Discrete-Time Systems Using the -- Hamilton-Jacobi Theory-- 4.6.1. Linear Quadratic Regulator Problem-- 4.6.2. Constrained Optimization of Discrete-Time Systems-- 4.6.3. Tracking Control of Discrete-Time Systems-- 5. Analysis, Identification, and Control of -- Nonlinear Dynamic Systems -- 5.1. Nonlinear Analysis of Dynamic Systems-- 5.2. State-Space Nonlinear Identification-- 5.2.1. Least-Squares Identification-- 5.2.2. Time-Domain, Nonlinear, Mapping-Based Identification. -- 5.3. Design of Stabilizing Controllers Using the Lyapunov Theory. -- 5.3.1. Lyapunov Stability Theory and Design of Control Laws-- 5.3.2. Design of the Constrained Controllers for Uncertain -- Nonlinear Systems Using the Lyapunov Stability Theory. -- 5.4. Optimization of Continuous-Time Systems-- 5.4.1. Optimization of Time-Invariant Systems-- 5.4.2. Constrained Optimization of Time-Varying Systems-- 5.4.3. Optimal Control of Nonlinear Continuous-Time -- Systems: Design of Bounded Controllers Via -- Generalized Nonquadratic Functionals-- 5.4.4. Tracking Control of Continuous-Time Systems-- 5.4.5. Robust Control of Nonlinear Continuous-Time Systems-- 5.4.6. Robust Tracking Control of Nonlinear Systems-- 5.5. Sliding Mode Control-- 5.6. Control of Discrete-Time Systems-- 5.6.1. Tracking Control-- 5.6.2. Constrained Optimization-- 5.7. Nonlinear Control of Permanent-Magnet Synchronous Motors. -- 5.7.1. Nonlinear Motor Dynamics-- 5.7.2. Feedback Linearization and Control-- 5.7.3. The Lyapunov-Based Approach-- 5.7.4. Analytical and Numerical Results-- 5.8. Case Study in Nonlinear Control of Multivariable Systems: -- Motion Control of Induction Motors-- 5.8.1. Mathematical Models of Induction Motors-- 5.8.2. Control of Induction Motors-- 5.8.3. Control of a Three-Phase Squirrel Cage Induction Motor: -- Analytical and Experimental Results-- 5.9. Control of Servo-Systems With Permanent-Magnet DC Motors-- 5.9.1. Proportional-Integral Control-- 5.9.2. Tracking Integral Control-- 5.9.3. Relay (Time-Optimal) Control-- 5.9.4. Sliding Mode Control with Soft Switching. |
| Subject | AUTOMATIC CONTROL. CONTROL THEORY. |
| Multimedia |