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A Design Method of a Model-following Control System
Hiroki Shibasaki,Rubiyah Yusof,Yoshihisa Ishida 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.4
This paper describes and demonstrates a model-following control system that is based on a switching function where an optimal gain matrix is determined by the LQR method. In our proposed method, the optimal gain matrix is derived such that it does not depend on the plant parameters. Simulation results show various cases including the nominal plant and the plant with a modeling error. The experimental study is also performed using a DC motor. The simulation and experimental results show that the proposed method has superior effectiveness.
Word Recognition by Neural Networks Using Adaptive Mel-Cepstral Analysis
Hoya, Tetsuya,Ihara, Hitoshi,Asano, Takamitsu,Ishida, Yoshihisa 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1
Neural networks have played an important role in many fields of signal processing. One of the fruitful application using neural networks is the development of speech recognition system. In this paper, a practical word recognition system using the technique of adaptive mel-cepstral analysis is presented. The experimental results show the proposed method is suitable for the practical word recognition system.
Model following Adaptive Control based on Least Squares Method
Hiromitsu OGAWA,Manato ONO,Yuichi MASUKAKE,Yoshihisa ISHIDA 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper describes a design method of adaptive control based on least squares (LS) method to the second-order plant with known parameters. To use the LS algorithm properly, the system must be discretized by a zero-order hold. Although adaptive control based on LS without a parallel feedforward compensator (PFC) may be unstable, the proposed system tracks the reference model, and it has no steady-state error in the disturbance response. The PFC improves the plant based on the almost strictly positive real condition, and an integrator improves the steady-state response. Furthermore, the proposed system has the advantage of simpler design compared with the conventional simple adaptive control system. The proposed method does not require the satisfaction of the perfect model following condition.
Sliding Mode Control based on a Modified Linear Control Input
Takehito Fujio,Hiroki Shibasaki,Ryo Tanaka,Takahiro Murakami,Yoshihisa Ishida 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.1
In this study, we explain and demonstrate a design method of sliding mode control based on a modifiedlinear control input. In the proposed method, the optimal gain matrix is derived such that it does not depend onthe plant parameters. We confirmed the robustness of the proposed method by applying input-side disturbancesand plant parameter deviations to plants and the effectiveness of the proposed method by performing a DC motorposition control experiment.