Robust Optimal Control Technology for Multimedia Signal Processing Applications

This paper develops a robust optimal control technology for multimedia signal processing (MSP) applications. The proposed control technology combines the advantages of nonsingular finite-time convergence sliding mode control (NFTCSMC) and genetic algorithm (GA). The NFTCSMC has finite system state convergence time including nonsingular merit unlike infinite-time exponential convergence of classic sliding mode control, but the chattering still occur under a highly uncertain disturbance. For multimedia signal processing applications, the chattering causes high voltage harmonics and inaccurate tracking control. To enhance the performance of multimedia signal processing, the GA is well adopted to tune the control gains of the NFTCSMC so that the chattering can be removed. Experimental results are given to conform that the proposed control technology can lead to high-quality AC output voltage and fast transient response. Because the proposed control technology is easier to realize than prior technologies and gives high tracking accuracy and low computational complexity algorithm, this paper will be of interest to designer of related MSP applications.