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A Dynamic Output Controller with Constant Perturbation Compensation
      
A controller for the output variable of a linear object ensuring total compensation for constant input perturbations is designed.
      
Perturbation compensation does not require any additional integral feedback or supplementary dynamic perturbation identification blocks and is implemented by synthesizing a controller by a special "problem-oriented" model of the object.
      
First, open-loop solutions are constructed and then an algorithm for the optimal controller for the linear optimal control problem is designed, which in real time generates current optimal feedback.
      
In polynomial form, necessary and sufficient conditions are given that provide for existence of a discrete controller stabilizing a multivariable sampled-data system.
      
Optimal control methods are applied to design a controller algorithm, which in real time generates the current values of bounded feedback used by a closed-loop system to execute a given stable motion.
      
A Method of Successive Improvement in the Design of the Controller of a Linear Discrete Plant
      
It is assumed that information on the behavior of a controllable object first arrives at a control element that generates control signals for a dynamic controller.
      
Using the external energy, the dynamic controller produces control actions of required power that enter the input of the controllable object.
      
An example of stabilization of an inverted pendulum with the aid of a controller of the reduced order in the output is given.
      
An example of stabilization of an inverted pendulum with the aid of a controller of the reduced order in the output is given.
      
Consideration was given to the class of degenerate problems of designing controller for a multidimensional discrete-time linear plant under stationary perturbations.
      
An algorithm to design an iteratively structured controller providing the desired control performance in the steady-state conditions was proposed.
      
This method is based on the determination of the specific values of the fuzzy controller parameters such that certain performance criterion is minimised.
      
A suboptimal robust controller for a multidimensional linear stationary nominal system with output- and control-operator perturbations and a bounded external perturbation is designed.
      
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
      
Complete controllability condition for a density cycle and optimal controller parameters are determined.
      
An Adaptive Dynamic Controller for Output Control of a System
      
A dynamic controller for controlling linear systems under a priori uncertainty of their parameters when only scalar inputs-outputs are measurable is designed.
      
 

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