Author
Rey-Chue Hwang
Bio: Rey-Chue Hwang is an academic researcher from I-Shou University. The author has contributed to research in topics: Artificial neural network & Fuzzy logic. The author has an hindex of 14, co-authored 100 publications receiving 967 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a self-tuning method for a class of nonlinear PID control systems based on Lyapunov approach is proposed, where three PID control gains are adjustable parameters and will be updated online with a stable adaptation mechanism such that the PID control law tracks certain feedback linearization control, which was previously designed.
181 citations
10 Oct 2004
TL;DR: A novel optimal PID control design is proposed in this paper and the existence criteria of the optimal PID controller are derived and the new PID tuning algorithm is applied to the speed control of BLDC motors.
Abstract: A novel optimal PID control design is proposed in this paper. The methodology of linear quadratic regulator is utilized to search the optimal parameters of the PID controller. The augmented state vector of performance measure involves output signals only. The weighting functions are determined through poles assignment. The existence criteria of the optimal PID controller are derived. The new PID tuning algorithm is applied to the speed control of BLDC motors. Computer simulations and experimental results show that the performance of the optimal PID controller is better than that of the traditional PID controller.
119 citations
TL;DR: A new artificial intelligent peak power load forecaster constructed by non-fixed neural networks (NNs) is developed using gray analysis and stochastic back-propagation learning rule with dynamic learning rate and momentum.
85 citations
01 Jan 2010
TL;DR: The discrete wavelet transformation, the morphology edge enhancement sharpness measurement algorithms, and the self-organizing map (SOM) neural network were used in developing the control mechanism of the passive auto-focus camera control system.
Abstract: This paper presents a passive auto-focus camera control system which can easily achieve the function of auto-focus with no necessary of any active component (e.g., infrared or ultrasonic sensor) in comparison with the conventional active focus system. To implement the technique we developed, the hardware system including the adjustable lens with CMOS sensor and servo motor, an 8051 image capture micro-controller, a field programmable gate array (FPGA) sharpness measurement circuit, a pulse width modulation (PWM) controller, and a personal digital assistant (PDA) image displayer was constructed. The discrete wavelet transformation (DWT), the morphology edge enhancement sharpness measurement algorithms, and the self-organizing map (SOM) neural network were used in developing the control mechanism of the system. Compared with other passive auto-focus methods, the method we proposed has the advantages of lower computational complexity and easier hardware implementation.
82 citations
TL;DR: A modified hyperbolic tangent function is used as the activation function of an auto-tuning neuron, which provides two adjustable parameters to flexibly determine the magnitude and the shape of function.
82 citations
Cited by
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01 Sep 1986
TL;DR: This chapter discusses algorithmics and modular computations, Theory of Codes and Cryptography (3), and the theory and practice of error control codes (3).
Abstract: algorithmics and modular computations, Theory of Codes and Cryptography (3).From an analytical 1. RE Blahut. Theory and practice of error control codes. eecs.uottawa.ca/∼yongacog/courses/coding/ (3) R.E. Blahut,Theory and Practice of Error Control Codes, Addison Wesley, 1983. QA 268. Cached. Download as a PDF 457, Theory and Practice of Error Control CodesBlahut 1984 (Show Context). Citation Context..ontinued fractions.
597 citations
01 Apr 2008
TL;DR: This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters and proves system robustness, as well as stability, is proven by using the Lyapunov theory.
Abstract: This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters. An adaptation tuning approach without high- frequency switching is developed to deal with unknown but bounded system uncertainties. Tracking performance is guaranteed. System robustness, as well as stability, is proven by using the Lyapunov theory. The upper bounds of uncertainties are not required to be known in advance. Therefore, the proposed method can be effectively implemented. Experimental results demonstrate the effectiveness of the proposed control method.
399 citations
01 Apr 1984
Abstract: Abstract Surface acoustic wave (SAW) devices offer many attractive features for application as vapour phase chemical microsensors. This paper describes the characteristics of SAW devices and techniques by which they can be employed as vapour sensors. The perturbation of SAW velocity by polymeric coating films is investigated both theoretically and experimentally. Highest sensitivity can be achieved when the device is used as the resonating element in a delay line oscillator circuit. A simple equation has been developed from theoretical considerations which offers reasonably accurate quantitative predictions of SAW device frequency shifts when subjected to a given mass loading. In this mode the SAW device behaves very like conventional bulk-wave quartz crystal microbalances except that the sensitivity can be several orders of magnitude higher and the device size can be several orders of magnitude smaller. Detection of mass changes of a few femtograms by a SAW device having a surface area of 10−4 cm2 is theoretically possible.
374 citations
TL;DR: In this paper, a new approach for short-term load prediction in buildings is shown based on a special kind of artificial neural network (ANN), which feeds back a part of its outputs.
346 citations