Results 1 to 10 of about 23,220 (114)
This paper presents an offset-free global tracking control algorithm for the input-constrained plants modeled as controllable and open-loop strictly stable linear time invariant (LTI) systems.
Kyunghwan Choi +2 more
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MPC-Based Offset-Free Tracking Control for Intermittent Transonic Wind Tunnel
This paper addresses the offset-free model predictive control (MPC) for the intermittent transonic wind tunnel (ITWT). The offset-free property holds by introducing the controller state equation which introduces an integral action, while the controller ...
Baocang Ding, Jun Wang, Xiaoming Tang
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Offset Free Tracking Predictive Control Based on Dynamic PLS Framework
This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method ...
Jin Xin, Wang Yue, Luo Lin
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Phase Offset Tracking for Free Space Digital Coherent Optical Communication System
The coherent receiving method can improve the sensitivity of an optical signal receiver for free space optical communication system effectively. To implement coherent receiving, the phase offset between the local laser in the receiver and the received ...
Hongwei Li +5 more
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Disturbance observer based multiloop proportional feedback system for output voltage regulation in three phase AC to DC converters [PDF]
This paper suggests a disturbance observer (DOB)-based offset-free output voltage regulator for the three-phase AC/DC power converters, taking the nonlinearity, parameter, and load uncertainties into account. The proposed multiloop controller is designed
Hosik Lee +4 more
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This study proposes a movement control system based on model predictive control (MPC) with state expressed identity disturbance observer (DOB). The proposed controller removes tracking errors of control variables due to disturbance influences.
Takashi OHHIRA, Akira SHIMADA
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Impulsive control systems have shown strong potential to represent and address challenging problems, especially in the biomedical field. In recent research, these problems have been tackled with advances in linear impulsive control systems. However, many
Maria F. Villa-Tamayo +3 more
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Due to the nonminimum phase characteristics and nonlinearity of boost converters, the control design is always a challenging issue. A novel model predictive control strategy is proposed for the boost converter in this work.
Rongchao Niu, Hongyu Zhang, Jian Song
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The novel extreme learning machine (ELM) neural network disturbance observer (NNDO) -based sliding mode control (SMC) strategy is proposed for the precise tracking control of a hypersonic vehicle (HV) under various disturbance situations.
Haiyan Gao, Weiqiang Tang, Rong Fu
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Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework
This work addresses the model predictive control (MPC) of the offset-free tracking problem in the dynamic partial least square (DyPLS) framework. Firstly, state space MPC based on the DyPLS is proposed.
Ligang Hou, Ze Wu, Xin Jin, Yue Wang
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