This paper investigates the Hopf bifurcations resulting from time delay in a coupled relative-rotation system with time- delay feedbacks. Firstly, considering external excitation, the dynamical equation of relative ro...
详细信息
This paper investigates the Hopf bifurcations resulting from time delay in a coupled relative-rotation system with time- delay feedbacks. Firstly, considering external excitation, the dynamical equation of relative rotation nonlinear dynamical system with primary resonance and 1：1 internal resonance under time-delay feedbacks is deduced. Secondly, the averaging equation is obtained by the multiple scales method. The periodic solution in a closed form is presented by a perturbation approach. At last, numerical simulations confirm that time-delay theoretical analyses have influence on the Hopf bifurcation point and the stability of periodic solution.
Hopf bifurcation and chaos of a nonlinear electromechanical coupling relative rotation system are studied in this paper. Considering the energy in air-gap field of AC motor, the dynamical equation of nonlinear electro...
详细信息
Hopf bifurcation and chaos of a nonlinear electromechanical coupling relative rotation system are studied in this paper. Considering the energy in air-gap field of AC motor, the dynamical equation of nonlinear electromechanical coupling relative rotation system is deduced by using the dissipation Lagrange equation. Choosing the electromagnetic stiffness as a bifurcation parameter, the necessary and sufficient conditions of Hopf bifurcation are given, and the bifurcation characteristics are studied. The mechanism and conditions of system parameters for chaotic motions are investigated rigorously based on the Silnikov method, and the homoclinic orbit is found by using the undetermined coefficient method. Therefore, Smale horseshoe chaos occurs when electromagnetic stiffness changes. Numerical simulations are also given, which confirm the analytical results.
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...
详细信息
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...
详细信息
The position tracking control scheme is investigated in this paper for electrohydraulic servo system with parameter uncertainties, external disturbances and actuator saturation. Disturbance observer is employed to est...
详细信息
Aiming at solving the problem of control performance due to the inaccuracy in the two-eye robot visual servoing system modeling, an RBF neural network based on the adaptive algorithm is proposed, which is used to iden...
详细信息
Aiming at solving the problem of control performance due to the inaccuracy in the two-eye robot visual servoing system modeling, an RBF neural network based on the adaptive algorithm is proposed, which is used to identify the uncertainties of the modeling. A dynamic control law is put forward for compensating the uncertainties of the modeling, an adaptive law is put forward to ensure the boundness of the neural network's weights and a kinematic control law is put forward which takes the errors between the actual position and the target position of the manipulators as input. The stability of the two control laws is demonstrated using the Lyapunov stability theorems, and the stability of the manipulator system which is under the proposed control laws is illustrated. The results, which are obtained from the Matlab simulation, verify the high performance of the control strategy.
A new control strategy based on nonlinear unscented Kalman filter(UKF) is proposed for a neural mass model that serves as a model for simulating real epileptiform stereo-electroencephalographic (SEEG) signals. The UKF...
详细信息
A new control strategy based on nonlinear unscented Kalman filter(UKF) is proposed for a neural mass model that serves as a model for simulating real epileptiform stereo-electroencephalographic (SEEG) signals. The UKF is used as an observer to estimate the state from the noisy measurement because it has been proved to be effective for state estimation of nonlinear systems. A UKF controller is constructed via the estimated state and is illustrated to be effective for epileptiform spikes suppression of aforementioned model by numerical simulations.
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 ...
详细信息
Fuzzy dynamic output-feedback control problem is investigated for a class of fuzzy bilinear systems with Markovian jumping parameters. The transition probability matrix is assumed to be partly unknown. Based on Takagi...
详细信息
The position tracking control scheme is investigated in this paper for electro-hydraulic servo system with parameter uncertainties and external disturbances. First, the total uncertainty is estimated via an extended s...
详细信息
暂无评论