Nonlinear effects can lead to performance degradation in (controlled) dynamical systems. This paper provides a practical method to optimally compensate performance degrading nonlinear effects in Lur'e-type systems in an automated way. Using novel frequency domain based techniques, a well defined performance measure is derived and real-time performance optimization is achieved by application of extremum seeking algorithm. This yields a new method for real-time compensation of performance degrading nonlinear effects, which is successfully demonstrated in both simulation and experiment.
|Number of pages||13|
|Journal||Mechanical Systems and Signal Processing|
|Publication status||Published - Jan 2014|
- Extremum seeking
- Frequency domain methods
- Nonlinear systems
- Real-time performance optimization