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Publikováno v:
2019 Chinese Automation Congress (CAC).
In this article, the nonlinear robust $\mathrm{H}\infty$ control is investigated for ship course control system with time-varying uncertain parameters and external disturbance. Firstly, we suppose that both the parameters and its derivatives of syste
Publikováno v:
2019 Chinese Automation Congress (CAC).
A robust fifth-degree desensitized cubature Kalman filter (5thDCKF) is proposed to estimates nonlinear state with uncertain parameters. State error sensitivities of the states and covariance about uncertain parameters are propagated by using the fift
Publikováno v:
2019 Chinese Automation Congress (CAC).
In this paper, we analyzed the mean-square exponential stability of controlled stochastic differential equations driven by G-Brownian motion(G-SDEs) based on their approximate discrete-time models. Firstly, Euler-Maruyama(EM) approximation model is e
Publikováno v:
2019 Chinese Automation Congress (CAC).
In this paper, the nonlinear photovoltaic system is studied. In order to make full use of photovoltaic energy, it is necessary to maintain maximum power output under each condition. First, apply incremental conductance algorithm to get the desired vo
Autor:
Lijing Chen, Xiaofang Hong
Publikováno v:
2019 Chinese Automation Congress (CAC).
In this paper, we investigate the $H_{\infty}$ filter design for a class of nonlinear Hamiltonian network systems. There are uncertain network delays and packet dropouts in the network systems. First, they are transformed into time varying delays by
Publikováno v:
2019 Chinese Automation Congress (CAC).
As a special recurrent neural network, Echo State Network (ESN) has succeed best in the field of nonlinear time series prediction. The key part of ESN is a sparsely and randomly connected recurrent layer (reservoir) which leads to a large and sparse