sustained
发表于 2025-3-21 18:35:17
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原来
发表于 2025-3-21 22:42:52
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Mammal
发表于 2025-3-22 02:45:09
Control of Mimo Stochastic Systems: Robustness and Stability,derived. However, in practice many systems are subjected to multiple inputs and external disturbances. An added modelling error will also present when B-spline functions are used to approximate the output probability density function of the stochastic system. As such, a control algorithm for MIMO st
impaction
发表于 2025-3-22 06:38:03
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大量
发表于 2025-3-22 08:51:37
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思想灵活
发表于 2025-3-22 14:34:20
Model Reference Adaptive Control,formulate the algorithm. In this chapter, an alternative approach will be described using the state space model. We will only consider unknown continuous-time linear systems, where the model reference adaptive control algorithm () will be applied to design stable adaptive control inp
担忧
发表于 2025-3-22 19:51:30
Control of Nonlinear Stochastic Systems, to work well for some linear systems (). However, due to the wide existence of nonlinear systems in practice, it is also important to investigate the control algorithms for the control of the output probability density functions for general nonlinear stochastic systems. This forms the main
会犯错误
发表于 2025-3-23 00:34:43
Application to Fault Detection,seeking effective solutions to an improved reliability of practical control systems. As a result, many methods have been developed in the past two decades. In general, these approaches can be classified into the following three groups:
hermetic
发表于 2025-3-23 05:12:45
Advanced Topics,been made on the control of the total shape of the output probability density functions of stochastic systems. In these approaches, the stochastic system considered has its outputs taken as the measured probability density functions of the system output and its inputs as a set of deterministic varia
山间窄路
发表于 2025-3-23 05:32:36
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