Neural dynamic programming (NDP) is a generic online learning control system based on the principle of reinforcement learning. Such a controller can self tune with a wide change of operating conditions and parametric variations. Implementation details of a self-tuning NDP based speed controller of a permanent-magnet DC machine along the online training algorithm are given. A simple solution is ...

A method for the performance assessment of Proportional-Integral (PI) controllers for single-input single-output (SISO) self-regulating processes is proposed. In particular, the effectiveness of the tuning of the controller with respect to its load disturbance rejection performances is determined by evaluating simultaneously different simple indexes that are calculated by considering only the m...

Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning methods of the PID controllers used for the system. In this paper, fuzzy logic was used to t...

This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for the management of drinking water networks (DWNs). The control system architecture consists in a multilayer controller with three hierarchical layers: learning and planning layer, su...

In this study, the self-tuning method for fuzzy PID controllers that has been developed in a previous study of the authors is implemented on PLC in order to control some standard processes formed on FEEDBACK PCS 327 Process Control Simulator. In this tuning method, the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral co...

In this paper, a self-tuning fuzzy controller with a smart and easy structure is presented. The tuning schemes allow us to tune the scaling factors by only seven rules. The aim of a controller is to obtain a satisfactory performance, such as the rise time, the overshoot, the steady-state error for the step response. Simulation results of a third order system with time-delay show a better perfor...