15 research outputs found
Peak-to-peak exponential direct learning of continuous-time recurrent neural network models: a matrix inequality approach
Get PDFIntelligent System of Passenger Transportation Capacity Requirements Analysis in Guangzhou Asian Games
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Quality-of-service adaptive control of multimedia services in short-term resource reservation networks
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Adaptive tracking control for stochastic uncertain non-linear systems satisfying short- and long-term cost criteria
No full textA Novel Identification-Based Convex Control Scheme via Recurrent High-Order Neural Networks: An Application to the Internal Combustion Engine
No full textModel reference controlled separately excited DC motor
No full textThis research article proposes the speed control of a separately excited DC motor (SEDM) in the constant torque region. The novelty of this article lies in the application of artificial neural network-based model reference controller (MRC) for the speed control of SEDM. This paper also discusses and compares the speed control systems of SEDM using PI-controlled and fuzzy logic-controlled chopper circuit with MRC. The entire system has been modeled using MATLAB 7.0/SIMULINK toolbox. It has been observed that chopper-controlled speed control system could be eliminated by the use of MRC and the performance of the proposed system is comparable with speed control system using chopper circuit
