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This paper considers the parameter estimation problems of Hammerstein finite impulse response moving average (FIR–MA) systems. Based on the matrix transformation and the hierarchical identification principle, the Hammerstein FIR–MA system is recast into ...
Yan Ji, Jinde Cao
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Fractional calculus has been opening new doors in terms of better modeling and control of several phenomena and processes. Biomedical engineering has seen a lot of combined attention from clinicians, control engineers and researchers in their attempt to ...
Erwin T. Hegedus +3 more
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Application of Sine Cosine Egret Swarm Optimization Algorithm in Gas Turbine Cooling System
Gas turbine cooling system is a typical multivariable, strongly coupled, nonlinear, and uncertain MIMO system. In order to solve the control problem of pressure, flow, and temperature of the system, an intelligent approach is necessary and more ...
Tianyi Li, Yanmei Liu, Zhen Chen
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Fully automated design of compensated multivariable linear systems [PDF]
The current paper establishes a rapid, real-time algorithm for the synthesis of the reaction matrices used by compensators that reduces multivariable linear systems to extended systems that are cyclical.
Adrian SFARTI
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GA-tuning of Multivariable PID Controller for Electrohydraulic Load-Sensing Servo System [PDF]
The main purpose of this article is to present the design, optimal setting and experimental study of a multivariable PID controller supposed for electrohydraulic power steering system with load-sensing function.
Mitov Alexander +3 more
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Toward Optimal Control of a Multivariable Magnetic Levitation System
In the paper, a comparative case study covering different control strategies of unstable and nonlinear magnetic levitation process is investigated. Three control procedures are examined in order to fulfill the specified performance indices.
Paweł Majewski +3 more
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This paper investigates the parameter estimation problem for multivariate output-error systems perturbed by autoregressive noises. To reduce the influence of the colored noises on parameter estimates, we turn the original model into the new model with ...
Qinyao Liu +3 more
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Filtering-Based Parameter Identification Methods for Multivariable Stochastic Systems
This paper presents an adaptive filtering-based maximum likelihood multi-innovation extended stochastic gradient algorithm to identify multivariable equation-error systems with colored noises.
Huafeng Xia, Feiyan Chen
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An Adaptive Multivariable Control System for Hydroelectric Generating Units [PDF]
This paper describes an adaptive multivariable control system for hydroelectric generating units. The system is based on a detailed mathematical model of the synchronous generator, the water turbine, the exiter system and turbine control servo.
Gunne J. Hegglid
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Multivariable Coupled System Control Method Based on Deep Reinforcement Learning
Due to the multi-loop coupling characteristics of multivariable systems, it is difficult for traditional control methods to achieve precise control effects.
Jin Xu, Han Li, Qingxin Zhang
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