A particle swarm optimization algorithm and neural network like self-tuning PID controller for
CSTR system is presented. The scheme of the discrete-time PID control structure is based …

This paper presents the optimal design of PID controller based on a particle swarm
optimization (PSO) approach for continuous stirred tank reactor (CSTR). The mathematical …

CSTR plays a vital role in almost all the chemical reactions and is a highly nonlinear system
exhibiting stable as well as unstable steady states. The variables which characterize the …

In this paper the design of a nonlinear feedback controller is analyzed for concentration
control of continuous stirred tank reactors (CSTR) which have strong nonlinearities …

In this paper a dynamic behavior and control of a jacketed continuous stirred tank reactor
(CSTR) is developed using different control strategies, conventional feedback control (PI …

In this paper, a combination of a multi-layer quantum neural network (QNN) with the particle
swarm optimization (PSO) algorithm is used with the aim of controlling a continuous stirred …

The temperature system of the Continuous Stirred Tank Reactor (CSTR) has the
characteristics of strong nonlinearity and uncertain parameters. The linear PID controller …

This paper presents a hybrid model of particle swarm optimization and genetic algorithm for
tuning of PID controller parameters for a concentration control of isothermal continuously …

In this paper based on the conception of evolution, the Genetic Algorithm (GA) is applied to
parameters optimization of proportional-integral-derivative (PID) controller for continuous …

This paper proposes a particle swarm optimization (PSO) tuned novel proportional integral
derivative (PID) like neural network (PSO-PID-NN), to control the temperature of a nonlinear …