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PID controllers and Model predictive controllers (MPC) are model based controllers being deployed in several process industries. Industrial processes are non linear and multivariable in nature. Hence linear controllers designed at one operating point may not give efficient control of multivariable process as it is affected by interaction between variables, operating point shifts and disturbances....
In this paper, a systematic approach to design a non-linear observer to estimate the state vector of a non-linear dynamic system has been presented. The neural network based state filtering algorithm proposed by A.G. Parlos et al. has been used by the authors to estimate the state variables, concentration and temperature in the CSTR process
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