Abstract Supervisory controller synthesis is a means to compute correct-by-construction controllers for discrete event systems. As these systems and their requirements evolve over time, an updated supervisor needs be computed each time adaptation takes place. We consider the case that has been synthesized given model, after which this model (slightly) adapted. investigate how we can make use of...

This paper addresses the problem of the "right hand" control in dual arm assembly cell. While considering the constraints and perturbations that occur during a typical multi-robot assembly task (poorly known and varying environment parameters, mobile obstacles, impacts, friction, noises,...), a controller have been developed in 1]. It is based on an impedance controller which is an intermediate...

Supervisor localization procedure can be employed to construct local controllers corresponding to component agents in discrete-event systems. This proposed method in [11] is based on state reduction of a monolithic supervisor with respect to each set of controllable events corresponding to each component agent. A supervisor is localizable if state cardinality can be reduced from the reduced sup...

This paper aims at developing supervisory control architecture in order to improve the performance of manufacturing systems. The proposed control architecture is hierarchical. It is composed of basic-level fuzzy logic controllers supervised by a higher level decision-making combining local and global performance indicators to allocate the production capacity. The global performance indicator us...

This work presents a methodology for the design of an intelligent supervisory system that combines the principles of fuzzy logic, the Internal Model Control (IMC) architecture and the paradigm of Multi-Agent Systems (MAS). The methodology has been conceived to be applied in an intelligent supervisory system, specifically for two kinds of complex petroleum industrial processes: the gas-oil separ...

In this paper the synthesis of logic-based switching H2/H∞ state-feedback controller for singular perturbation systems is considered that achieves a minimum bound on the H2 performance level, while satisfying the prescribed H∞ performance. The proposed hybrid control scheme is based on a fuzzy supervisor which manages the combination of two controllers. A convex LMIbased formulation of the two ...

A recent innovation in artificial intelligence research has been the integration of multiple artificial intelligence techniques into hybrid intelligent systems. Hybrid artificial intelligent systems seek to overcome the deficiencies of traditional artificial techniques by combining techniques with complementary capabilities. Using these hybrid systems, researchers have been able to solve a vari...

In this paper, we present some experimental results on impedance control applied to an industrial manip-ulator, while considering the constraints and perturbations that occur during a typical assembly task (unknown and varying environment parameters, impacts, friction, noises,...). An experimental and theorical analysis is used rst to derive a simpliied scheme from the original Hogan's controll...

Design of switching H2/H∞ output-feedback controller for discrete-time LTI systems with statemultiplicative noise is considered. The closed loop system achieves a minimum bound on the stochastic H2 performance level, while satisfying the H∞ performance. The proposed controller is based on a fuzzy supervisor which manages the combination of two separate H2 and H∞ controllers. A convex formulatio...

This article describes a general architecture for fault modeling, diagnosis, and isolation of the DSN antenna array based on computationally intelligent techniques (neural networks and fuzzy logic). It encompasses a suite of intelligent test and diagnosis algorithms in software. By continuously monitoring the health of the highly complex and nonlinear array observables, the automated diagnosis ...