Abstract
This paper discusses how the adaptive control paradigm can be used for reducing the computational complexity of the synthesis of supervisory controllers for discrete event systems (timed or untimed) with partial observations. The adaptive control paradigm simplifies the design by assuming a priori that the control design is decomposed in two parts. The state space of the plant model can be partitioned in different “modes of operation”. The first component of the control loop is a “mode detector”, an observer that estimates the set of all “modes of operation” that are compatible with the past observations. The second component of the supervisory controller activates feedback controllers corresponding to each of these possible current “modes of operation”. This leads to a safe, but not maximally permissive control law, that is computationally much easier to design.
Published Version
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