This work focuses on the design of a supervisory predictive control system for the optimal management and operation of a stand-alone wind-solar energy generation system which provides power to a reverse-osmosis (RO) water desalination system. We design the supervisory control system via model predictive control which coordinates the wind and solar subsystems as well as a battery bank to best sa...

reusable software components, together with algorithms for automatic synthesis of the control software. In this paper will be shown how a certain type of nondeterministic specification for discrete event systems can be used with the supervisory control theory. A discrete event system will be regarded as a user-resource system, with a set of resources shared by a set of users. The users are seen...

The paper presents sufficient conditions for modular (supervisory) control synthesis to equal global control synthesis. In modular control synthesis a supervisory control is synthesized for each module separately and the supervisory control consists of the parallel composition of the modular supervisory controls. The general case of the specification that is indecomposable and not necessarily c...

Increasing levels of automation and rising costs of manpower are pushing the DoD towards a supervisory control paradigm for future unmanned aerial vehicle (UAV) missions. Using the Supervisory Control Operations User Testbed, a group of 20 participants completed two twenty minute supervisory control missions where eye tracking and performance data were collected. Each mission had 3 levels of ta...

Ab.macl The dimension of tbe guard lOne along with its bounds for the Generalised Learning Algorithm (P"thak and Pal. 1986) is determined 1'01' optimum learning. The dimension is found to be dynamic dependlllg on the input sequence and tbe current estimates of classification parameters. Incorporation of tbis higher-order knowledge in a supervisory program improves the system performance. The pe...