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On the robustness of a generalized predictive controller
      
In this paper, we present a quantitative analysis of the robustness of a generalized predictive controller.
      
According to Elman networks' unique structure, a weight training algorithm is designed and a nonlinear adaptive controller is constructed.
      
Without the PE presumption, neural networks controller's closed-loop properties are studied and the whole Elman networks' passivity is demonstrated.
      
Furthermore, it is clear that when carrier signal h(t)=0, closed-loop pulse-width modulation (PWM) DC-DC converters are not well posed, and when some condition is satisfied, the closed-loop PWM DC-DC converters with a P controller are well posed.
      
This makes a controller designed without considering delays still applicable in NCS.
      
Modular design of adaptive robust controller for strict-feedback stochastic nonlinear systems
      
This paper presents a robust adaptive controller for a significant class of nonlinearly parameterized systems.
      
The controller can be used in cases where there exist parameter and nonlinear uncertainties, unmodeled dynamics and unknown bounded disturbances.
      
The design of the controller is based on the control Lyapunov function method.
      
Simulation results illustrate the effectiveness of the proposed robust adaptive controller.
      
Digital controller for hybrid filter in HVDC based on approximate inverse system
      
The proposed digital controller is implemented with a TMS320C32 DSP, including a series of parallel digital band-pass filters, phase shifters and amplifiers.
      
The design process of controller provided a new idea to design controller by use of simplified model.
      
Nonlinear optimal predictive controller for static var compensator to improve power system damping and to maintain voltage
      
A new controller for SVC with closed-form analytic solution nonlinear optimal predictive control (NOPC) law was presented.
      
The controller does not require online optimization and the huge calculation burden can be avoided, so that the demand of real-time control can be satisfied.
      
Simulation results have shown that the controller can not only attenuate power system oscillation effectively but can also maintain voltage at the SVC bus location.
      
Decentralized adaptive robust controller design for complex system based on partition of unity
      
A nonlinear proportion integration differentiation (PID) controller is proposed on the basis of recurrent neural networks, due to the difficulty of tuning the parameters of conventional PID controller.
      
 

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