Adaptive Control - Innovative Techniques for Dynamic Systems in Robotics
Fouad Sabry
Verlag: One Billion Knowledgeable
Beschreibung
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.
