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controllers
The single-input single-output (SISO) j-step-ahead predictor for generalized predictive control (GPC) controllers was traditionally derived using the polynomial approach through the Diophantine equations.
      
In the control process of nonlinear multivariable system, a decoupling controller was constructed, which took advantage of multi-nonlinear PID controllers in parallel.
      
The control strategies utilized real-time state variables obtained by PMU to linearize the state equations of the system, and then the linear optimal control strategy was used to design excitation controllers.
      
By using matrix inequalities, the existence conditions of robust H∞ static state feedback and dynamic output feedback controllers are derived.
      
Moreover, the design methods for such controllers are provided in terms of the solutions of matrix inequalities.
      
The system equations are formulated by combining equations for rotor motion and decentralized proportional integral differential (PID) controllers.
      
Furthermore, a proportional component is introduced, the advantages of PID and fuzzy controllers are integrated, and the structure weaknesses of conventional fuzzy controllers are overcome.
      
Design of Robust Linear Controllers under Parametric Uncertainty of the Object Model
      
Consideration was given to the design of continuous and discrete robust controllers for multidimensional systems with parametric uncertainty.
      
A numerical example was used to demonstrate effciency of the algorithm, the ways to improving it, and the differences between the suboptimal robust controllers with structured and nonstructured operator perturbations.
      
Minimization of Overshoot in Linear Discrete-Time Systems via Low-Order Controllers
      
A method is presented for synthesis of optimal sampled-data tracking systems with two controllers, one of which is incorporated into the closed loop, while another is placed in feedforward chain.
      
The set of all admissible reference controllers is constructed.
      
Since the minimized functional is of special type and contains information on the properties of the open-loop system, the difficulties in solving the Bellman equation are surmounted and nonlinear controllers are easily designed analytically.
      
Optimality Conditions for a Degenerate Problem of Analytical Design of Controllers
      
A degenerate problem of analytical design of optimal controllers is studied.
      
Nonstandard Hardware for Adaptive Controllers and Passive Location Systems
      
Krasovskii that are concerned with the problems of optimal self-organizing adaptive extrapolating controllers and passive location.
      
Structures of the interfaces for the optimal self-organizing adaptive extrapolating controllers and interferometric systems of passive radiolocation were described.
      
Application of the adaptive controllers of power plants which improve stability and reliability of the electric systems was discussed.
      
 

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