Extremum-Seeking Control and Applications: A Numerical Optimization-Based Approach

Extremum-Seeking Control and Applications: A Numerical Optimization-Based Approach By Chunlei Zhang, Raul Ordonez
2012 | 221 Pages | ISBN: 1447122232 | PDF | 6 MB

Extremum-seeking direct tracks a varying maximum or least quantity in a performance function such because output or cost. It attempts to conclude the optimal performance of a command system as it operates, thereby reducing downtime and the privation for system analysis. Extremum-seeking Control and Applications is divided into brace parts. In the first, the authors revise existing analog-optimization-based extremum-seeking superintend including gradient-, perturbation- and sliding-accident-based control designs. They then propose a modern numerical-optimization-based extremum-seeking superintendence based on optimization algorithms and narrate regulation. This control design is developed with respect to simple linear time-invariant systems and afterwards extended for a class of feedback linearizable nonlinear systems.