The inter-symbol interference (ISI) and phase error caused by non-ideal character of channel can result in severe degradation of bit error rate performance in communication system. The existing equalization algorithm ...
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In this paper, mathematical model of relationship between clutch engaging speed and engine output torque is firstly established to solve the problem of clutch engaging speed in AMT vehicle starting process, basing on ...
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For the problems of parameters change abruptly and input saturation of the rolling mill hydraulic servo systems,an adaptive backstepping control method based on multi-model switching is presented in this ***,multiple ...
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ISBN:
(纸本)9781479900305
For the problems of parameters change abruptly and input saturation of the rolling mill hydraulic servo systems,an adaptive backstepping control method based on multi-model switching is presented in this ***,multiple models of the rolling mill hydraulic servo systems under different operating modes are ***,an auxiliary system is introduced to reduce the effects of input saturation,and the adaptive backstepping controllers are designed for all *** the help of common Lyapunov theory,the proposed method can guarantee stability of the multi-model switched system under arbitrary switching ***,the simulation results demonstrate the effectiveness of the proposed control method.
Aiming at the starting process of automated mechanical transmission, control algorithm of engaging process of clutch is studied. Firstly, the simplified dynamic model of clutch engagement is established. Secondly, the...
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Based on Lyapunov stability theorem, a MRAC system was researched to solve that differential value of plant output is unknown. Meanwhile an improved design for MRAC system aimed on the factor of restricting convergenc...
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Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalm...
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Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalman filters (UKFs) to observe states and estimate parameters in a neural mass model that can simulate distinct rhythms in electroencephalography (EEG) including dynamical evolution during epilepsy seizures. We demonstrate the efficiency of the UKF in estimating states and parameters. We also develop an UKF-based control strategy to modulate the dynamics of the neural mass model. In this strategy the UKF plays the role of observing states, and the control law is constructed via the estimated states. We demonstrate the feasibility of using such a strategy to suppress epileptiform spikes in the neural mass model.
In this paper, a fuzzy adaptive backstepping sliding mode controller is presented for the hydraulic gap nonlinear system with uncertain parameters and load disturbances. Fuzzy adaptive systems are employed to approxim...
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A non-causal iterative learning control (ILC) with variable index gain is presented to solve the trajectory tracking problem of rigid robot manipulator with non-zero initial error. This scheme eliminates the restricti...
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Aimed at decreasing the tension variation during transforming process of "1+4" aluminum hot rolling mills unit in one factory of Henan, we analyzed the factors affecting tension variation and improved the te...
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This paper proposes a fuzzy PI hybrid speed controller for a PMSLM (Permanent Magnet Synchronous Linear Motor), which is based on a friction disturbance observer. It can improve the problems caused by the friction dis...
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This paper proposes a fuzzy PI hybrid speed controller for a PMSLM (Permanent Magnet Synchronous Linear Motor), which is based on a friction disturbance observer. It can improve the problems caused by the friction disturbance and the system parameters perturbation. Also the problem of the blind area for fuzzy control is eventually eliminated, because of the introduction of the PI control. Finally, through the simulation test and comparative analysis with the traditional PID control method, the validity and rationality of the control scheme is illustrated.
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