Extremum Seeking Control Systems
Description: This cluster of papers focuses on extremum seeking control, a method for optimizing the performance of dynamic systems by iteratively adjusting control inputs to seek the extremum of a cost function. The papers cover various aspects such as stability analysis, adaptive control, stochastic optimization, and applications in fields like wind energy, bioreactors, and autonomous vehicles.
Characteristic keywords: extremum seeking control, extremum seeking, source seeking, unknown cost functions
Sibling topics: Adaptive Control of Nonlinear Systems, Stability and Control of Uncertain Systems, Machine Fault Diagnosis Techniques, Microgrid Control and Optimization, Traffic control and management, Robotic Mechanisms and Dynamics, Robot Manipulation and Learning, Advanced Control Systems Optimization, Fault Detection and Control Systems, Smart Grid Security and Resilience, Power Systems Fault Detection, Process Optimization and Integration, Advanced Control Systems Design, Stability and Controllability of Differential Equations, Control Systems and Identification, Dynamics and Control of Mechanical Systems, Piezoelectric Actuators and Control, Magnetic Bearings and Levitation Dynamics, Control and Dynamics of Mobile Robots, Iterative Learning Control Systems, Pulsed Power Technology Applications, Systems Engineering Methodologies and Applications, Vibration and Dynamic Analysis, Human Motion and Animation, Optimization and Mathematical Programming, Control and Stability of Dynamical Systems, Thermal Analysis in Power Transmission, Real-time simulation and control systems, Military Strategy and Technology, Embedded Systems and FPGA Design, Mining Techniques and Economics, Engineering and Test Systems, Industrial Automation and Control Systems, Robotics and Automated Systems, Wireless Sensor Networks and IoT, Advanced Algorithms and Applications, Aerospace Engineering and Applications, Elevator Systems and Control, Advanced Sensor and Control Systems, Simulation and Modeling Applications, Advanced Research in Systems and Signal Processing, Advanced Data Processing Techniques, Industrial Technology and Control Systems
Parent subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
OpenAlex ID: T14083