Control systems theory with engineering applications 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