The paper describes the development of an adaptive fuzzy control strategy for control of dissolved oxygen (DO) concentration on an activated sludge process (ASP). The technique is applied to the Benchmark Simulation Model n.1 (BSM1) which is a standard for performance assessment and evaluation of ASP control strategies. The controller uses DO concentration error feedback and manipulates the flo...

A brief introduction to the main ideas in Autonomous Control Systems is rst given and certain important issues in modeling, analysis and design are discussed. Control systems with high degree of autonomy should perform well under signi cant uncertainties in the system and environment for extended periods of time, and they must be able to compensate for certain system failures without external i...

We present a formal connection between supervisory control theory in the field of control engineering and reactive synthesis in the field of formal methods. We focus on the case of fully-observed discrete-event systems that are controlled by a single controller/supervisor in order to achieve a safety specification and a non-blocking specification. The connection is shown by a reduction of the c...

This paper presents a control system for mobile robots. The controller was developed to satisfy the needs of a wide range of operator interfaces and teleoperation in unknown, unstructured environments. In particular, the controller supports varying degrees of cooperation between the operator and robot, from direct to supervisory control. The controller has a modular architecture and includes in...

In this paper a method of controller design for FJRs considering actuator saturation and other practical limitations is proposed. In the proposed method the need of powerful actuator is skipped over by decreasing the bandwidth of the fast controller during critical times. In order to accomplish this, a supervisory control is employed which uses fuzzy logic to adjust the proper forward path gain...

This paper presents the development and performance analysis of intelligent control techniques such as Sliding Mode controller and Fuzzy logic Controller for Brushless DC (BLDC)motor drives. Today, strong mathematical tools used in new control methodologies to design adaptive nonlinear robust controller with acceptable performance. One of the best nonlinear robust controller which can be used i...

Semiconductor fabrication is a manufacturing sequence with hundreds of sophisticated unit operations and it is always challenged by strategy development for ensuring the yield of defect-free products. In this paper, an advanced control strategy through integrating product and process control is established. The proposed multiscale scheme contains three layers for coordinated equipment control, ...

Objective: The objective of this paper is to develop a hierarchical two-level power system load frequency control. Design: At the button level, standard PI controllers are utilized to control area’s frequency and tie-line power interchanges. At the higher layer, model predictive control (MPC) is employed as a supervisory controller to determine the optimal set-point for the PI controllers in th...

This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous manner for the precision control of a system that shows multiple modes and drastic parametric ‘jumps’. The first two agents are based on artificial intelligent techniques (fuzzy systems and Radial Basis Function Neural Ne...

The task of implementing a supervisory controller is non-trivial, even though different theories exist that allow automatic synthesis of these controllers in the form of automata. One of the reasons for this discord is due to the asynchronous interaction between a plant and its controller in implementations, whereas the existing supervisory control theories assume synchronous interaction. As a ...