Author
W. G. He
Bio: W. G. He is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Adaptive control & Pressure control. The author has an hindex of 1, co-authored 1 publications receiving 129 citations.
Topics: Adaptive control, Pressure control
Papers
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TL;DR: Computer simulation has shown that multiple model adaptive control procedures might be successfully applied to the control of blood pressure despite the uncertainty in the delays, time constant, and gains.
Abstract: Multiple model adaptive control procedures have been considered for a computer-based feedback system which regulates the infusion rate of a drug (nitroprusside) in order to maintain desired blood pressure. Because the transfer function parameters are different for each patient, and furthermore are time variant, such an algorithm is desirable for maintaining both steady-state and transient specifications. To this effect, computer simulation has shown that multiple model adaptive control procedures might be successfully applied to the control of blood pressure despite the uncertainty in the delays, time constant, and gains. Additional efforts concerned with the actual demonstration of these concepts on dogs have further supported the role of adaptive control for blood pressure regulation.
130 citations
TL;DR: Computer simulation results show that the APLMC, and BC-APLMC algorithms are valid in acoustic echo cancellation and system identification applications and are robust in the presence of input noise and impulse noise.
Abstract: This article proposes an affine-projection-like maximum correntropy (APLMC) algorithm for robust adaptive filtering. The proposed APLMC algorithm is derived by using the objective function based on the maximum correntropy criterion (MCC), which can availably suppress the bad effects of impulsive noise on filter weight updates. But the overall performance of the APLMC algorithm may be decreased when the input signal is polluted by noise. To compensate for the deviation of the APLMC algorithm in the input noise interference environment, the bias compensation (BC) method is introduced. Therefore, the bias-compensated APLMC (BC-APLMC) algorithm is presented. Besides, the convergence of the BCAPLMC algorithm in the mean and the mean square sense is studied, which provides a constraint range for the step-size. Computer simulation results show that the APLMC, and BC-APLMC algorithms are valid in acoustic echo cancellation and system identification applications. It also shows that the proposed algorithms are robust in the presence of input noise and impulse noise.
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21 Jun 2005
TL;DR: In this article, the authors proposed a mixed sensitivity approach using Linear Matrix Inequalities (LMIIN) for loop-shaping in power systems. And they also proposed a control for time-delayed systems.
Abstract: Power System Oscillations.- Linear Control in Power Systems.- Test System Model.- Power System Stabilizers.- Multiple-Model Adaptive Control Approach.- Simultaneous Stabilization.- Mixed-Sensitivity Approach Using Linear Matrix Inequalities.- Normalized ?? Loop-Shaping Using Linear Matrix Inequalities.- ?? Control For Time-Delayed Systems.
716 citations
TL;DR: The concept of chronopharmaceutics is introduced, theoretical/formal approaches to this sub-discipline are addressed, potential disease-targets are underscores, existing technologies and examples of ChrDDS are revisited, and future development is made at the interface of other emerging disciplines such as system biology and nanomedicine.
227 citations
TL;DR: The use of closed-loop control for clinical pharmacology can significantly advance the understanding of the effects of pharmacological agents and anesthetics, as well as advance the state-of-the-art in drug delivery systems.
Abstract: In this paper, the potential applications of control technology to clinical pharmacology are discussed, specifically the control of drug dosing. The use of closed-loop control for clinical pharmacology can significantly advance the understanding of the effects of pharmacological agents and anesthetics, as well as advance the state-of-the-art in drug delivery systems. In addition to delivering sedation to critically ill patients in an acute care environment, potential applications of closed-loop control include glucose, heart rate, and blood pressure regulation.
207 citations
TL;DR: An experimental system called Guardian is developed, which exhibits several of the required capabilities and utilizes an underlying architecture hypothesized to support the full range of required capabilities, which aims to develop a more comprehensive 'intelligent agent' to cooperate on the ICU team.
186 citations
TL;DR: A multiple-model adaptive predictive controller has been designed to simultaneously regulate mean arterial pressure and cardiac output in congestive heart failure subjects by adjusting the infusion rates of nitroprusside and dopamine.
Abstract: A multiple-model adaptive predictive controller has been designed to simultaneously regulate mean arterial pressure and cardiac output in congestive heart failure subjects by adjusting the infusion rates of nitroprusside and dopamine. The algorithm is based on the multiple-model adaptive controller and utilizes model predictive controllers to provide reliable control in each model subspace. A total of 36 linear small-signal models were needed to span the entire space of anticipated responses. To reduce computation time, only the six models with the highest probabilities were used in the control calculations. The controller was evaluated on laboratory animals that were either surgically or pharmacologically altered to exhibit symptoms of congestive heart failure. During trials, the controller performance was robust with respect to excessive switching between models and nonconvergence to a single dominant model. A comparison with a previous multiple-drug controller design is made. >
186 citations