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controller design
Decentralized adaptive robust controller design for complex system based on partition of unity
      
Delay-dependent robust H∞ controller design for a class of nonlinear uncertainty time-delay systems with input delay
      
Based on a linearized TCP/AQMmodel, a new proportional integral (PI) controller design approach is proposed.
      
The results show the advantages of the new PI controller design approach for AQM routers supporting TCP flows.
      
The controller design does not need an accurate model of the robot manipulator.
      
In robust system analysis and robust controller design, the parameters of the nominal system and admissible perturbation classes are usually assumed to be known.
      
Therefore, the iterative sequential method of controller design and perturbation norm estimation is used as a heuristic method for designing suboptimal robust controllers under unknown perturbation norms.
      
Nonlinear Controller Design: An Iterative Relaxation Method
      
An example of an optimal reduced-dimension controller design is given that illustrates the obtained results.
      
Based on the recent development in automated inequality-type theorem proving, a new stabilizing controller design method is established.
      
It will be shown that by combining on-line adaptive estimation and control in the controller design, a feedback control law can be constructed which makes the switched linear system globally stable.
      
(ii) Reduced-order controller design is considered and the design idea is also formulated as solutions to LMIs.
      
Nonlinear decoupling controller design based on least squares support vector regression
      
The proposed method provides an effective alternative to the controller design of plants whose accurate mathematical model is unknown or state variables are difficult or impossible to measure.
      
Robust adaptive controller design for a class of nonlinear systems with unknown high frequency gains
      
The controller design depends on the specific pole-zero patterns.
      
Optimal controller design for a constrained polynomial vehicle system with an input-state linearized model
      
This paper presents a new controller design method based on a data-mining polynomial algorithm.
      
We verify the developed modeling method and controller design method through numerical experiments.
      
A finite-element model of a cantilever and a reduced order model for controller design were established.
      
 

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