نتایج جستجو برای: ilc
تعداد نتایج: 1967 فیلتر نتایج به سال:
In this contribution we place ILC in the realm of numerical optimization. This clarifies the role played by the design variables and how they affect e.g. convergence properties. We give a model based interpretation of these design variables and also a sufficient condition for convergence of ILC which is similar in spirit to the sufficient and necessary condition previously derived for linear sy...
In this paper, we present iterative learning control (ILC) algorithms for terminal control in multi-input multioutput systems. The optimal ILC framework is investigated for the formulations of single-terminal point and multiple intermediate pass points tracking control. First, we consider an initial learning control technique for one final output, before sequentially exploring multiple terminal...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic performance index in the iteration domain for the nominal dynamics of linear discrete-time systems. Properties of stability, convergence, robustness, and optimality are investigated and demonstrated. In the case that the system under consideration contains uncertain dynamics, the proposed ILC design ca...
In this contribution we place ILC in the realm of numerical optimization. This clarifies the role played by the design variables and how they affect e.g. convergence properties. We give a model based interpretation of these design variables and also a sufficient condition for convergence of ILC which is similar in spirit to the sufficient and necessary condition previously derived for linear sy...
The International Linear Collider (ILC) has a 14 mrad crossing angle in order to aid extraction of spent bunches. As a result of the bunch shape at the interaction point, this crossing angle at the collision causes a large luminosity loss which can be recovered by rotating the bunches prior to collision using a crab cavity. The ILC baseline crab cavity is a 9-cell superconducting dipole cavity ...
In iterative learning control (ILC) and in repetitive control (RC) one is interested in convergence to zero tracking error as the repetitions of the command or the periods in the command progress. A condition based on steady state frequency response modeling is often used, but it does not represent the true stability boundary for convergence. In this paper we show how this useful condition diff...
Time and frequency domain convergence properties of causal and Current Iteration Tracking Error (CITE) discrete time Iterative Learning Control (ILC) algorithms are discussed. Considering necessary and sufficient convergence conditions basic matrix properties can be utilized to show that causal as well as CITE ILC algorithms converge to zero error in only very restrictive special cases. The fre...
This work presents the temperature control of a nonlinear batch reactor with constrains in the manipulated variable by means of adaptive feedback-based iterative learning control (ILC). The strong nonlinearities together with the constrains of the plant can lead to a non-monotonic convergence of the l2-norm of the error, and still worse, an unstable equilibrium signal e∞(t) can be reached. By n...
In this paper, it is first pointed out that, when a typical iterative learning control(ILC) algorithm is applied to a class of dynamic systems with time-delay, erratic estimation of delay time may cause the control input to diverge. In order to resolve such a limitation of the conventional ILC algorithms due to uncertainty of the delay time, a new ILC algorithm with input saturation is proposed...
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