Adaptive Control - Innovative Techniques for Dynamic Systems in Robotics

Fouad Sabry

Maison d'édition: One Billion Knowledgeable

Synopsis

1: Adaptive control: Explores the foundation of adaptive control, adjusting to dynamic systems in real time.

2: Control theory: Introduces fundamental principles of control theory, vital for system stability and performance.

3: Hinfinity methods in control theory: Discusses Hinfinity methods, enhancing robustness in uncertain systems.

4: Lyapunov stability: Examines Lyapunov’s direct method for assessing system stability in nonlinear systems.

5: System identification: Focuses on techniques for identifying system dynamics from inputoutput data for control design.

6: Model predictive control: Covers predictive control methods used in optimizing performance over a finite time horizon.

7: Quantitative feedback theory: Explores feedback systems designed to improve system performance through quantitative measures.

8: Robust control: Looks at designing control systems that are resilient to system uncertainties and disturbances.

9: Advanced process control: Delivers advanced methods for optimizing industrial processes and ensuring control accuracy.

10: Nonlinear control: Discusses control techniques for handling nonlinearities, a crucial aspect in robotics.

11: Hinfinity loopshaping: Focuses on improving system performance by shaping the loop gain using Hinfinity methods.

12: Miroslav Krstić: Highlights Krstić’s contributions to adaptive control, particularly in robust stabilization techniques.

13: Dragoslav D. Šiljak: Investigates Šiljak’s work on stability and robust control, influencing modern control systems.

14: Moving horizon estimation: Introduces a technique used for realtime state estimation in dynamic systems.

15: Wassim Michael Haddad: Discusses Haddad’s influence on stability analysis and robust control in adaptive systems.

16: Linear parametervarying control: Explores control strategies for systems with parameters that vary over time.

17: Nonlinear system identification: Focuses on methods for identifying nonlinear system models for improved control.

18: Multiple models: Delves into the use of multiple models for controlling systems with varying dynamics.

19: Petros A. Ioannou: Investigates Ioannou’s contributions to adaptive and robust control, shaping modern practices.

20: Frank L. Lewis: Explores Lewis’ work in intelligent systems and control, bridging robotics and adaptive control.

21: Control engineering: Provides a comprehensive look at engineering principles for designing and analyzing control systems.

Disponible depuis: 18/12/2024.

Longueur d'impression: 216 pages.

Science et Technologie

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