Adaptive PID controller based on online LSSVM identification

The paper proposes a proportional-integral-derivative (PID) controller based on least squares support vector machines (LSSVM) identifier (PID_LSSVMI). The PID parameters of the adaptive controller are adjusted by gradient information of LSSVM for online identification of nonlinear time-varying system. To illustrate the efficiency of the proposed controller, the simulation experiments are made to compare performance of three controllers, namely, PID_LSSVMI controller, classical PID controller, and PID controller based neural network. The results show that the proposed control method is effective and can achieve better control performance in control loop of nonlinear time-varying system.