Supervisory control of a class of discrete event processes
SIAM Journal on Control and Optimization
Switched bond graphs as front-end to formal verification of hybrid systems
Proceedings of the DIMACS/SYCON workshop on Hybrid systems III : verification and control: verification and control
Evolving neural networks through augmenting topologies
Evolutionary Computation
System Dynamics: Modeling and Simulation of Mechatronic Systems
System Dynamics: Modeling and Simulation of Mechatronic Systems
Structured synthesis of MEMS using evolutionary approaches
Applied Soft Computing
Cooperative body–brain coevolutionary synthesis of mechatronic systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Knowledge interaction with genetic programming in mechatronic systems design using bond graphs
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper presents an evolutionary methodology to automatically generate finite state automata (FSA) controllers to control hybrid systems. FSA controllers for a case study of two-tank system have been successfully obtained using the proposed evolutionary approach. Experimental results show that these controllers have good performance on the set of training targets as well as on a randomly generated set of validation targets.