The pH control is a difficult problem. This is due to the strong nonlinearity and extreme sensitivity to disturbances in the neighborhood of the neutrality point. A Fuzzy Sliding Mode Controller (FSMC) which combines a Variable Structure Control with sliding modes (VSC) and the fuzzy logic theory to adjust the controller gains, for pH control (neutralization and regulation), is presented in thi...

In this paper, a new approach to design gain scheduled robust linear parameter varying (LPV) PID controllers with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller (including the known part of the delay) a...

Digital control experiments are important parts of electrical engineering course in modern electrical schools. A virtual digital control experimental system is developed for undergraduates to learn digital control principals and to practice online. Based on the digital control hardware experiment platform, the practical circuit model is developed. And some digital control algorithms are employe...

Industry control processes presents many challenging problems, including non-linear or variable linear dynamic behaviour, variable time delay that means time varying parameters. One of the alternatives to handle with time delay systems is to use prediction technique to compensate the negative influence of the time delay. Smith predictor control (SPC) is one of the simplest and most often used s...

Using H∞ control, the design problem is formulated in terms of user defined weighting polynomials on the process closed-loop Sensitivity functions to achieve desired closed-loop performance and robust stability in the presence of process modelling error. In this paper stability conditions , in terms of the process sensitivity functions, are derived for processes containing a pure time delay for...

In this paper, a Perceptual Motor Control Model(PMCM) based on output feedback adaptive control theory is considered from the viewpoint of voluntary movement such as hand-tracking control. We give an account of the PMCM structure using together with both of the output feedback controller designed by using an almost strict positive real characteristics for the controlled plant and the Smith pred...

This paper proposes a control strategy for a Diesel Oxidation Catalyst (DOC) which is grounded on a one-dimensional distributed parameter model. This first principles model for the propagation of the temperature variations accounts for spatially distributed heat generation (due to oxidation of reductants). As is discussed, heat generation can be regarded as equivalent inlet temperature variatio...

In this two-set paper, an intelligent control framework which allows maintaining a conceptually simple control design methodology while simultaneously explicitly dealing with uncertainty in both rational component of the plant and delay is presented. This first part is devoted to the Smith Predictor (SP) based control of systems with known rational component and uncertain delay. Thus, as the mi...

This paper considers the stabilization problem for linear time-invariant (LTI) systems with a single delay h in the feedback loop. Two parametrizations of all stabilizing controllers are derived in terms of a state-space realization of the rational part of the plant. These parametrizations have simple structures and clear interpretations: the first is in the form of a generalized dead-time comp...