Neuro-fuzzy Control of Integrating Processes

Fuzzy technology is adaptive and easily applicable in different areas.Fuzzy logic provides powerful tools to capture the perceptionof natural phenomena. The paper deals with tuning of neuro-fuzzy controllers for integrating plant and for integrating plantswith time delay. The designed approach is verified on three examples by simulations and compared plants with classical PID control.Designed fuzzy controllers lead to better closed-loop control responses then classical PID controllers

Design of controllers for time delay systems: Integrating and unstable systems

The paper deals with design of controllers for integrating and unstable time delay systems. The proposed method is based on the Padé first order time delay approximation. The control system with two feedback controllers is considered. For controller design, the polynomial approach is used. Resulting continuous-time controllers obtained via polynomial equations and the LQ control technique ensure asymptotic tracking of step references as well as step disturbances attenuation. Simulation results are presented to illustrate the proposed method.P(ED2.1.00/03.0111), Z(MSM7088352101

Time-Delay Systems

Time delay is very often encountered in various technical systems, such as electric, pneumatic and hydraulic networks, chemical processes, long transmission lines, robotics, etc. The existence of pure time lag, regardless if it is present in the control or/and the state, may cause undesirable system transient response, or even instability. Consequently, the problem of controllability, observability, robustness, optimization, adaptive control, pole placement and particularly stability and robustness stabilization for this class of systems, has been one of the main interests for many scientists and researchers during the last five decades