Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor

In this paper we describe the design of hybrid fuzzy predictive control based on a genetic algorithm (GA). We also present a simulation test of the proposed algorithm and a comparisonwith two hybrid predictive controlmethods: Explicit Enumeration and Branch and Bound (BB). The experiments involved controlling the temperature of a batch reactor by using two on/off input valves and a discrete-position mixing valve. TheGA-hybrid predictive control strategy proved to be a suitablemethod for the control of hybrid systems, giving similar performance to that of typical hybrid predictive control strategies and a significant saving