Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527)
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Jigging process human-like intelligent control
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 1 - Trang 687-692 vol.1
Based upon the principle of jigging process, the human-like intelligent control system is built with aim to gain high jig efficiency. The intelligent control system is built in two layers. In the top layer, based on the online evaluating preparing efficiency, the quality and the preparation of raw coal, the intelligent control system can coordinate each sub-control system of the low layer and real......
#Intelligent control #Fuzzy control #Control systems #Fuzzy systems #Educational institutions #Electronic mail #Optimal control #Process control #Automation
An exploration of modeling in central air-conditioning intelligent control system for saving energy
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 1 - Trang 612-616 vol.1
The complexity of system modeling is very typical in central air-conditioning, especially when considering the multi-working-condition sub-areas, multi-parameters and time delay problems, the complexity of mathematical model will greatly increase. Under the state, the question of how to obtain the correct model, whose error with the practical system is in the acceptable range, becomes more practic......
#Central air conditioning #Intelligent control #Delay effects #Optimal control #Modeling #Mathematical model #Error correction #Production #Moisture #Three-term control
Research of fuzzy neural networks IMC for greenhouse environment
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 4 - Trang 2566-2570 vol.4
The greenhouse environment is a complex dynamic system, where the classical control is limited in application. The fuzzy neural network has a good ability of processing fuzziness and uncertainty, while the internal model control (IMC) has good robustness and stability. The authors design a control method for greenhouse environment by using the distinguishing features of fuzzy networks and IMC. The......
#Fuzzy neural networks #Fuzzy control #Automatic control #Automation #Uncertainty #Robust stability #Neural networks #Machine intelligence #Control systems #Design methodology
Micro-scratch inspection system for semiconductor process by two-ways laser scattering method
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 3 - Trang 2150-2153 vol.3
CMP (Chemical Mechanical Polishing) is a key technology in semiconductor processing. However, when a problem arises in the polishing conditions, scratches are caused and yield can deteriorate drastically. We study the characteristic figure of scratch the depth of which is extremely shallow compared with width. We propose a 2-way illumination comparative discrimination method. By experiment, we obt......
#Inspection #Semiconductor lasers #Chemical technology #Wiring #Chemical lasers #Particle scattering #Semiconductor films #Production engineering #Chemical processes #Lighting
The pattern recognition of non-destructive testing based on HMM
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 3 - Trang 2198-2202 vol.3
A method of fault pattern recognition based on signal processing and pattern recognition. A hidden signal processing and characteristic reconstructed is presented Markov model which is scatter output and one rank is in this paper. Hidden Markov model (HMM),which is initially employed in the field of speech signal processing is introduced into fault pattern recognition of nondestructive testing(NDT......
#Pattern recognition #Nondestructive testing #Hidden Markov models #Signal processing #Speech analysis #Scattering #Speech processing #Automatic testing #Materials testing #System testing
Realizing the fault diagnostic system in maglev suspension train system (MSTS) based on fuzzy comprehensive evaluation method
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 1 - Trang 700-703 vol.1
Since maglev train system is a large system, it is difficult to diagnose the fault to the whole train extent by traditional method of fault diagnosing. The fuzzy comprehensive evaluation method is usually applied to most large systems, which can consider many factors of a large system. Firstly the principle of fuzzy comprehensive evaluation method is introduced, then concerned about the feature of......
#Magnetic levitation #Fuzzy systems #Control systems #Fuzzy control #Fuzzy logic #Laboratories #Automation
Real time characteristics of Ethernet and its improvement
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 2 - Trang 1311-1318 vol.2
There is a growing interest in using Ethernet to support time constrained communication in process control, factory automation and other real-time applications. The paper first presents a comprehensive analysis of the temporal characteristics of traditional Ethernet and the improvements for them, then summarizes the interesting features offered by a switched Ethernet for supporting time constraine......
#Ethernet networks #Asynchronous transfer mode #Time factors #Communication switching #Field buses #Distributed control #Bandwidth #IEC standards #Process control #Quality of service
Building agent-mediated teleservice system on J2EE platform
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 4 - Trang 2665-2668 vol.4
E-commercialization and artificial intelligence approach are the development trends of manufacturing teleservice systems. In this paper, the authors show how to implement and integrate an agent-mediated teleservice application on the J2EE platform, and realize an e-commercialized teleservice. An ontology application for the teleservice system is also discussed.
#Ontologies #Computer integrated manufacturing #Commercialization #Intelligent control #Automation
Neural network control with fuzzy predictor for ship autopilots
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 4 - Trang 3141-3144 vol.4
A neural network control scheme with fuzzy predictor for ship autopilots is proposed. Parameters of a fuzzy predictor are optimized by using a genetic algorithm. The BP (backpropagation) learning algorithm is used for neural network control. The simulation result has shown that the proposed control scheme is effective.
#Fuzzy control #Marine vehicles #Automatic control #Neural networks #Automation #Genetic algorithms #Educational institutions #Fuzzy neural networks #Fuzzy systems #Predictive control
Adaptive actuator failure compensation for feedback linearizable systems
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 1 - Trang 833-837 vol.2
Actuator failure compensation problem for nonlinear systems is formulated and adaptive actuator failure compensation control with state feedback is investigated for feedback linearizable systems. Under different structure conditions which characterize different classes of systems, adaptive state feedback control schemes are developed for systems with uncertain actuator failures. It is proved that ......
#Linear approximation #Adaptive control #Actuators #Compensation #Nonlinear systems #State feedback #Tracking #Closed loop systems
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