Adaptive predictive expert control: methodology & application

2006 ◽  
Author(s):  
K. Slaven
Keyword(s):  
Expert Control ◽  
Control Methodology

Expert Control of a Diamond Processing Plant

1998 ◽  
Vol 31 (23) ◽  
pp. 37-42
Author(s):  
G. Metzner ◽  
C. Van Zyl ◽  
J.A. Narozny ◽  
A.C. Roebl
Keyword(s):  
Processing Plant ◽  
Expert Control ◽  
Diamond Processing

scholarly journals Modified LQG/LTR Control Methodology in Active Structural Control

2003 ◽  
Vol 22 (2) ◽  
pp. 97-108 ◽  
Author(s):  
Yan Sheng ◽  
Chao Wang ◽  
Ying Pan ◽  
Xinhua Zhang
Keyword(s):  
Structural Control ◽  
Signal To Noise Ratio ◽  
Open Loop ◽  
Control Force ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Control Approach ◽  
Active Structural Control ◽  
Loop Transfer Recovery ◽  
Control Methodology

This paper presents a new active structural control design methodology comparing the conventional linear-quadratic-Gaussian synthesis with a loop-transfer-recovery (LQG/LTR) control approach for structures subjected to ground excitations. It results in an open-loop stable controller. Also the closed-loop stability can be guaranteed. More importantly, the value of the controller's gain required for a given degree of LTR is orders of magnitude less than what is required in the conventional LQG/LTR approach. Additionally, for the same value of gain, the proposed controller achieves a much better degree of recovery than the LQG/LTR-based controller. Once this controller is obtained, the problems of control force saturation are either eliminated or at least dampened, and the controller band-width is reduced and consequently the control signal to noise ratio at the input point of the dynamic system is increased. Finally, numerical examples illustrate the above advantages.

scholarly journals Finite-Time Stability of MIMO Nonlinear Systems Based on Robust Adaptive Sliding Control: Methodology and Application to Stabilize Chaotic Motions

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 21759-21768
Author(s):  
Ha Le Nhu Ngoc Thanh ◽  
Mai The Vu ◽  
Ngoc Phi Nguyen ◽  
Nguyen Xuan Mung ◽  
Sung Kyung Hong
Keyword(s):  
Nonlinear Systems ◽  
Finite Time ◽  
Time Stability ◽  
Chaotic Motions ◽  
Sliding Control ◽  
Finite Time Stability ◽  
Mimo Nonlinear Systems ◽  
Robust Adaptive ◽  
Control Methodology

An Expert Controller Based on Transient Response Patterns

2011 ◽  
Vol 219-220 ◽  
pp. 3-7
Author(s):  
Ning Zhang ◽  
Rong Hua Liu
Keyword(s):  
Control System ◽  
Transient Response ◽  
Closed Loop ◽  
Performance Criterion ◽  
Response Patterns ◽  
Loop Control ◽  
Expert Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Control Decision

An expert control system based on transient response patterns and expert system techniques is proposed in this paper. Depending on the features of the closed-loop control system determines the control decision and adjusts the parameters of the controller. The proposed method requires minimal proper information about the controlled plant and, with the linear re-excitation learning method, the system is kept satisfying the performance criterion.

scholarly journals Control of Discrete Event Systems by Means of Discrete Optimization and Disjunctive Colored PNs: Application to Manufacturing Facilities

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Juan-Ignacio Latorre-Biel ◽  
Emilio Jiménez-Macías ◽  
Mercedes Pérez de la Parte ◽  
Julio Blanco-Fernández ◽  
Eduardo Martínez-Cámara
Keyword(s):  
Discrete Event ◽  
Optimal Solution ◽  
Solution Space ◽  
Discrete Systems ◽  
Discrete Control ◽  
Classic Approach ◽  
Event Dynamic ◽  
Time Required ◽  
Computational Resources ◽  
Control Methodology

Artificial intelligence methodologies, as the core of discrete control and decision support systems, have been extensively applied in the industrial production sector. The resulting tools produce excellent results in certain cases; however, the NP-hard nature of many discrete control or decision making problems in the manufacturing area may require unaffordable computational resources, constrained by the limited available time required to obtain a solution. With the purpose of improving the efficiency of a control methodology for discrete systems, based on a simulation-based optimization and the Petri net (PN) model of the real discrete event dynamic system (DEDS), this paper presents a strategy, where a transformation applied to the model allows removing the redundant information to obtain a smaller model containing the same useful information. As a result, faster discrete optimizations can be implemented. This methodology is based on the use of a formalism belonging to the paradigm of the PN for describing DEDS, the disjunctive colored PN. Furthermore, the metaheuristic of genetic algorithms is applied to the search of the best solutions in the solution space. As an illustration of the methodology proposal, its performance is compared with the classic approach on a case study, obtaining faster the optimal solution.

Expert Control System for the Process of Continual Carbonation Decomposition and Its Application

2006 ◽  
Author(s):  
Xinhong Sun ◽  
Yongfang Xie ◽  
Weihua Gui ◽  
Chunhua Yang
Keyword(s):  
Control System ◽  
Expert Control ◽  
Expert Control System

A novel structure of real-time expert control system for process industry

1987 ◽  
Vol 13 (1-4) ◽  
pp. 39-43 ◽  
Author(s):  
J. Jiang ◽  
R. Doraiswami
Keyword(s):  
Control System ◽  
Real Time ◽  
Process Industry ◽  
Expert Control ◽  
Novel Structure ◽  
Expert Control System
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