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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Using virtual reality computer simulation technology, by researching of the ethylene production process equipment and production process, Ethylene cracking plant modeling and simulation training system development wer...
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On the basis of the analysis of ethylene cracking process, equipment, process control and operation conditions, using process control system simulation platform, Ethylene cracking plant DCS modeling and simulation tra...
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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.
Relay selection (RS) and power control are two essential parts in cooperative cognitive relay network. RS is equal to power control in the condition that a relay cooperates with its full power or doesn't cooperate...
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ISBN:
(纸本)9781479913930
Relay selection (RS) and power control are two essential parts in cooperative cognitive relay network. RS is equal to power control in the condition that a relay cooperates with its full power or doesn't cooperate at all. So the optimal signal-to noise ratio (SNR) value is described as a 0-1 nonlinear programming integer problem (NLIP). In this paper, a multiple relay selection (MRS) scheme based on artificial bee colony algorithm (ABC) is proposed that can fully obtain optimal SNR value. Simulations show the performance of MRS scheme by ABC algorithm is better than that of exhaustive search, single RS scheme and other sub optimal MRS schemes.
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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Base on the the high performance requirements of permanent magnet synchronous motor(PMSM) speed servo system for non-sinusoidal oscillation control system of continuous casting mold, a global dynamic sliding mode(GDSM...
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Base on the the high performance requirements of permanent magnet synchronous motor(PMSM) speed servo system for non-sinusoidal oscillation control system of continuous casting mold, a global dynamic sliding mode(GDSM) control method is proposed, The reaching law of the sliding mode is designed by exponential fast terminal sliding mode(EFTSM) method and the controllers could effectively diminish chattering by designing the first derivative of control output which contains discontinuous function of sliding mode control; Considers the time variation of parameters perturbation and load disturbance of PMSM, a extended state observer (ESO) is constructed to observe the dynamic observation of total system perturbation and conduct feedforward compensation; theoretical analysis shows that the closed-loop system is global bounded stability; The simulated results show that the static and dynamic performance of the PMSM speed servo control system can be significantly improved by using the proposed method.
The hydraulic system's reliability is a key factor to ensure the reliable operation of equipment and it is very important to evaluate reliability of hydraulic system. The paper describes a reliability prediction m...
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