Computational intelligence approach to PID controller design using the universal model

Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization

“…Zhao et al [16] have applied two local best multi-objectives PSO (2LB-MOPSO) to design multi-objective robust PID controllers for two MIMO systems. Sumar et al [17] have designed a PID controller, based on the universal model of the plant, in which there is only one parameter to be tuned. Coelho and Pessoa [18] developed a technique for tuning of decoupled PI and PID multivariable controllers based on a chaotic differential evolution (DE) approach.…”

Design of a robust neural network-based tracking controller for a class of electrically driven nonholonomic mechanical systems

“…Neural network has good learning ability and has been widely applied in many areas such as approximation of nonlinear systems, classification of signals, system identification, image processing, modeling of systems, and stability problem for nonlinear systems. In recent years, there have been significant research efforts on adaptive control schemes for nonlinear systems via the neural network approach [1,29,[33][34][35][36][37]45,[49][50][51]. A new passive weight learning law for switched Hopfield neural networks with time-delay under parametric uncertainty has been proposed in [1].…”

“…In [37], a new adaptive nonlinear state predictor was presented for a class of unknown nonlinear systems with input time-delay. In [45], the design of a PID controller based on the universal model of the plant was derived, in which only one parameter was tuned. The problem of asymptotic stability analysis for a class of stochastic neural networks with time delays was proposed in [49,50].…”

4th Step Model Analysis for High Speed and High Precision Servo System

“…The structure of fuzzy system can be classified according to different applications [11,12]. In [13][14][15][16], the authors have represented the nonlinear system as a family of local linear state space models, local PID controllers have been designed on the basis of linear models, and the weighted sum of the output from the local PID controllers (Nonlinear PID controller) has been used to control the nonlinear process.…”