1998 · 14 citations · 3 references
EngineeringChemical EngineeringChemistryOptimizationProcess ControlProcess Systems EngineeringChemical ControlChemical Process DesignController DesignEvolutionary ComputationGenetic ProgrammingProcess EngineeringChemical Process SystemsGenetic Algorithm Based DesignGenetic Algorithms For DesignGenetic Programming For DesignPopulation Based Design Optimization
In this article, we show that genetic programming (GP) can be used to design discrete-time dynamic controllers that offer similar performance to standard Proportional Integral Derivative (PID) controllers for a specific class of control objectives. Two processes are used as examples: an Auto-Regressive eXogeneous (ARX) system and a simulated non-linear Continuous Stirred Tank Reactor (CSTR). Additionally, some of the generalisation properties of the evolved controllers are examined and discussed. 1.
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