Open loop dynamic stability is a major feature of operability. An optimization approach for open loop stable process design is presented. It is based on Lyapunov’s stability theory and formulated as an eigenvalue optimization problem. The resultant non-linear semi-definite programming problem is reformulated into an interior-point / logarithmic-barriertransformation programming problem. The pro...

A long-range predictive control algorithm for nonlinear processes operating over a wide range is proposed and is based on the Takagi–Sugeno–Kang (TSK) piece-wise linear fuzzy modelling approach. The performance of the fuzzy modelling approach integrated with the proposed control algorithm to form an adaptive control scheme is examined using a series of experiments on a liquid level system and o...

 Artificial immune system (AIS) approaches, which are used in this work, are learning and optimization methods that can be applied to find the solution of many types of optimization problems. This paper presents an AIS approach applied to optimize the design of an incremental discrete variable structure controller (VSC) for minimizing the generalized minimum variance (GMV) strategy. Control de...

The kinetic identification of chemical reaction systems often represents a time-consuming and complex task. This contribution presents an approach that uses rate estimation and feedback linearization to implement effective control without the use of a kinetic model. The reaction rates are estimated by numerical differentiation of reaction variants that are computed from measurements. The approa...

The paper deals with an application of robust static output feedback control to an exothermic continuous-time stirred tank reactor with parametric uncertainties and multiple steady states. The problem of robust controller design is converted to solution of linear matrix inequalities and a computationally simple non-iterative algorithm is presented. The possibility to use robust static output fe...

This paper investigates the application of fuzzy model and generalised predictive control strategy for the construction of a model-based predictive fuzzy controller for non-linear processes. In this method a GPC controller is used with the Takagi Sugeno Kang (TSK) piece-wise fuzzy modeling approach in an adaptive strategy. The developed method is applied to control a continuous stirred tank rea...

We studied the photoresponse of the chlorine dioxide-iodine-malonic acid (CDIMA) reaction. In a continuously fed stirred tank reactor, the photosensitivity increases with decreasing residence time and increasing concentration of chlorine dioxide. Under certain conditions, concentrations change in a sigmoidal fashion in response to a jump in the intensity of illumination. We propose a new mechan...

The treatment of an effluent from the production of trifluraline was studied using a 1-L, semi-batch, tank-stirred glass reactor for performing three different advanced oxidation processes (photoperoxidation, Fenton, photo-Fenton). A commercial, medium-pressure mercury lamp was used for sample irradiation. The degradation was monitored by measurements of absorptiometric color reduction, UV-visi...

Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dynamic data. Derivatives of the resulting empirical expressions are used to avoid solving differential equations when estimating parameters. Benefits and shortcomings of PDA were examined using a simple continuous stirr...

This paper present three different control strategies based on PI Control, PID control and Two degree of freedom PID control for Continuous Stirred Tank Reactor (CSTR).CSTR which offers a diverse range of application in the field of chemical engineering as well as in the control engineering and is an attractive research area for process control researchers. Our objective is to control the tempe...