图书简介
New Trends in Observer-Based Control: A Practical Guide to Process and Engineering Applications presents a concise introduction to the latest advances in observer-based control design. The book gives a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. It covers a wide range of applications, also including worked examples that make it ideal for both advanced courses and researchers starting work in the field. This book is also particularly suitable for engineers who want to quickly and efficiently enter the field.
Part I. Power Systems 1. Active Load Reduction in Large Scale Wind Turbines using Non-linear Quadratic Disturbance Observer 2. Observer-Based Controller of Analytical Complex Systems- Application for a Large Scale Power System 3. Robust Control for Wind Turbines using Sliding Modes based Compensation 4. Meta Heuristic Optimized control strategies for Hybrid DC- AC systems 5. Distributed Nonlinear Control of Microgrids Part II. Robotics and Mechatronics 6. Finite Time Observer Design for Nonholonomic Systems 7. Robust Observer-based Stabilization for Constrained Robots with Force and Parameter Estimation: Application to the ABB-IRB 140 Industrial Robot 8. Design of a Composite Control in Two-time Scale using Disturbance State Observer based SMC and Backstepping Control of a Two-link Flexible Manipulator 9. Robust Observer-based Control of the Inverted Pendulum System Subject to Communication Delays Part III. Flight and Automotive dynamics 10. A class of Nonlinear Unknown Input Observers under L2-gain performance for Fault Diagnosis: Application to the Mars Sample Return mission 11. A Class of Reduced-order Multiple Observers with Applications to Aircraft Landing 12. Disturbance Observer-Based Control of Spacecraft Attitude Dynamics Subject to Perturbations and Underactuation 13. Actuator or/and Sensor Fault Detection Based on LPV Unknown Input Observer Applied to Lateral Vehicle Dynamics Part IV. Bio-Industry 14. Observer-Based Trajectory Tracking for an Anaerobic Digestion Process by Using New LMI Method
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