Assistant Professor, Department of Mathematics, AMET University, Chennai
To increase stability of non linear system method, stochastic control method is proposed which works based on sliding mode control algorithm for shaping circuit design. Parameter of control method is informed at each sample time rather than using a group mode for Kullback-Leibler divergence that is established to random distribution control. Stochastic control method is used in continuous network in recent times. The method act as a continuous function even though actual controller has been discontinuous in switches. Parzen window technique is one of the generally utilized part estimators. It is nonparametric strategy to appraise the expression of an arbitrary procedure. An immaculate sliding mode is conceivable just on account of flawless model learning and without unsettling influences. Evaluated weight vector will join to its ultimate value while system will be asymptotically stable under rank-condition, which determines excitation form. Effectiveness of proposed algorithm is illustrated by simulation.
Probability density function, sliding-mode control, random distribution control, Kullback-Leibler divergence
