Quasi-sliding mode control strategy based on multiple-linear models

Authors:
Jeongho Cho;Jose C. Principe;Deniz Erdogmus;Mark A. Motter
Affiliations:
Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL 32611, USA;Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL 32611, USA;Department of Computer Science and Electrical Engineering, Oregon Health & Science University, Portland, OR 97006, USA;Electronics System Branch, NASA Langley Research Center, Hampton, VA 23681, USA
Venue:
Neurocomputing
Year:
2007

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Abstract

In this paper, a multiple discrete quasi-sliding mode (QSM) control scheme is proposed for a general class of nonlinear discrete time systems with unknown dynamical equations, provided that input-output data is available for system identification. The self-organizing map (SOM) is employed to divide the state space into local regions such that it associates the operating region where a local linear model is the winner with a local quasi-sliding mode controller (QSMC). Switching of the controllers is done synchronously with the active local linear model that tracks the different operating conditions. The simulation results show that the proposed controller outperforms tracking the desired trajectory in noisy environments either with a global controller or simpler controllers based on multiple models.