Precise
发表于 2025-3-21 18:22:30
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IOTA
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商品
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和平主义
发表于 2025-3-22 07:36:56
Model Predictive Control Using Volterra Series, case, where multivariable interactions, problematic dynamics, and constraints are present, an MPC approach is the natural choice. As indicated in Chapter 6, there are natural extensions of the IMC algorithm to the MPC framework.
Homocystinuria
发表于 2025-3-22 10:03:34
Introduction,trategies. The term . ultimately derives from the work of Vito Volterra at the end of the nineteenth century on the class of integral equations that now bears his name. Our primary motivation for considering discrete-time Volterra models is that they represent an extension of the linear convolution
oracle
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影响
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宣誓书
发表于 2025-3-22 23:35:05
Determination of Volterra Model Parameters,on is also given of the approximation of continuous-time nonlinear models by discrete-time Volterra models. As noted in Chapter 3, the following four special cases of the general Volterra model seem to arise most commonly in practice
Cardiac
发表于 2025-3-23 03:41:54
Advanced Direct Synthesis Controller Design,up control), have been proposed for linear systems. The notion of incorporating constraints into nonlinear IMC (NLIMC) has been explored by a number of investigators. Li and Biegler (1988) developed a single-step method that incorporated state and input constraints into the NLIMC framework. The cont
身心疲惫
发表于 2025-3-23 08:34:25
Model Predictive Control Using Volterra Series, introduced in the IMC framework to allow the explicit use of a Volterra series model in the controller design. Extensions were sketched for problematic dy¬namics, such as nonminimum phase behavior, although the derivations were carried out for the single-input-single-output (SISO) problem. In Chapt