Aiming at the requirements of high real-time and high accuracy for a coal hopper blockage detection in port, the paper proposed a program based on multi-signal feature fusion analysis to detect the coal hopper blockag...
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This paper proposes an observer-based controller to stabilize Takagi-Sugeno (T-S) fuzzy models with unknown inputs, in which the unknown inputs need not satisfy the so-called observer matching condition. Firstly, an u...
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This paper proposes an observer-based controller to stabilize Takagi-Sugeno (T-S) fuzzy models with unknown inputs, in which the unknown inputs need not satisfy the so-called observer matching condition. Firstly, an unknown input observer (UIO) is constructed to estimate the system states and unknown inputs, the observer gains are given in linear matrix inequality (LMI) terms. The controller is then developed under the framework of backstepping design, and a first-order filter is employed in each step of the recursive structure. The system stability is investigated based on the Lyapunov theory, and uniform boundedness property of the closed loop system is achieved. Finally, numerical simulation results are presented to illustrate the effectiveness of the proposed method.
A robust H-infinity controller based on genetic algorithm optimization is designed for space vector control model of permanent magnet synchronous motor to improve the speed of tracking performance. A space vector cont...
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For multiple Lagrange systems, the objective of distributed edge control problem is to drive all the followers converge to the edge of the convex hull spanned by the leaders. In this approach, we choose binocular visi...
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Direct and inverse kinematics are commonly implemented to determine main parameters affecting humanoid robots behavior and specify the reliable method to control motion and preserve stability. This paper presents a di...
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Direct and inverse kinematics are commonly implemented to determine main parameters affecting humanoid robots behavior and specify the reliable method to control motion and preserve stability. This paper presents a direct kinematics method for humanoid NAO model. The approach is analytical based on classic methods like Denavit-Hartenberg convention which are employed to derive forward kinematics equations. Firstly, it analyses the upper limb topology of NAO model and establishes the kinematics models. Secondly, the homogeneous transformation matrix of upper limb joints of the robot is derived in this paper. Finally, the simulations are given by using the Robotic Toolbox from MATlab software to test the derivation.
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.
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.
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