Digital Control and state Variables Methods
Material type:
- 9780071333276
- 629.895 GOP-D
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629.8315 DES-C CONTROL SYSTEM COMPONENTS | 629.89 OGA-M Modern Control Engineering | 629.895 GOP-D Digital Control & State Variable Methods | 629.895 GOP-D Digital Control and state Variables Methods | 652.8 STA-C Cryptography and Networks Security: Principles and practice | 660.281 AND-A Applied Instrumentation in the Process Industries | 660.2815 STE-C Chemical Process Control : An introduction to theory |
Part I Digital Control: Principles and Design in Transform Domain 1. Introduction 2. Signal Processing in Digital Control 3. Models of Digital Control Devices and Systems 4. Design of Digital Control Algorithms Part II State Variable Methods in Automatic Control: Continuous-Time and Sampled-Data Systems 5. Control System Analysis Using State Variable Methods 6. State Variable Analysis of Digital Control Systems 7. Pole-Placement Design and State Observers 8. Linear Quadratic Optimal Control through Lyapunov Synthesis Part III Nonlinear Control Systems: Conventional and Intelligent 9. Nonlinear Systems Analysis 10. Nonlinear Control Structures 11. Intelligent Control with Neural Networks/Support Vector Machines 12. Fuzzy Logic and Neuro-Fuzzy Systems 13. Optimization with Genetic Algorithms 14. Intelligent Control with Reinforcement Learning
Part I Digital Control: Principles and Design in Transform Domain 1. Introduction 2. Signal Processing in Digital Control 3. Models of Digital Control Devices and Systems 4. Design of Digital Control Algorithms Part II State Variable Methods in Automatic Control: Continuous-Time and Sampled-Data Systems 5. Control System Analysis Using State Variable Methods 6. State Variable Analysis of Digital Control Systems 7. Pole-Placement Design and State Observers 8. Linear Quadratic Optimal Control through Lyapunov Synthesis Part III Nonlinear Control Systems: Conventional and Intelligent 9. Nonlinear Systems Analysis 10. Nonlinear Control Structures 11. Intelligent Control with Neural Networks/Support Vector Machines 12. Fuzzy Logic and Neuro-Fuzzy Systems 13. Optimization with Genetic Algorithms 14. Intelligent Control with Reinforcement Learning
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