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The structure adaptation of control systems has been achieved, which avoids the complex modeling steps.
      
The objective of this paper is to introduce the approach of integrated modeling and control.
      
The traditional Snake function model and operation strategy are improved by increasing new control energy functions, and the influencing weight of these energy factors is discussed.
      
Results of simulation show the effectiveness of the control algorithms.
      
Robust adaptive control of nonlinearly parameterized systems with unmodeled dynamics
      
How to control such systems effectively is one of the most challenging problems.
      
The design of the controller is based on the control Lyapunov function method.
      
It is proved theoretically that the proposed robust adaptive control scheme guarantees the stability of nonlinearly parameterized system.
      
Permissions propagating to control, conflict and cyclic in delegable model were analyzed and resolved.
      
Under different control mode, the different analytical functions are presented.
      
The results of both simulations based on PSCAD and experiments on a 30 kVA HVDC system prove that the proposed digital control system is stable and efficient for eliminating the harmonics.
      
A robust adaptive control with unmodeled dynamic for HVDC transmission systems
      
The additional control of HVDC with unmodeled dynamics only uses the local signals and its design is simple, furthermore it can obviously improve the stability of power system in different operational conditions.
      
These results prove the efficiency of the control scheme.
      
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.
      
In addition, there are only two design parameters, which are the predictive period and control order, so it is easy to implement and test in practical use.
      
The operating principle and control methods are analyzed in detail and the feasibility is validated by simulation with MATLAB.
      
A new control system for the actuator was put forward and tested, which is called the fixed-frequency with adjustable voltage.
      
A method to construct knot vectors, control points and corresponding parameters were proposed.
      
 

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