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Titlebook: Automation Control Theory Perspectives in Intelligent Systems; Proceedings of the 5 Radek Silhavy,Roman Senkerik,Zdenka Prokopova Conferenc

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樓主: Impacted
11#
發(fā)表于 2025-3-23 10:52:53 | 只看該作者
12#
發(fā)表于 2025-3-23 15:39:59 | 只看該作者
13#
發(fā)表于 2025-3-23 18:39:23 | 只看該作者
State-Space Predictive Control of Two Liquid Tanks SystemRIMA mathematical model. This paper describes the linearization process of the nonlinear system at the operating point and a process of a control signal calculation. The designed controller is verified on the process without and with a time-delay.
14#
發(fā)表于 2025-3-23 23:15:53 | 只看該作者
15#
發(fā)表于 2025-3-24 03:54:42 | 只看該作者
Scanning System for Ballistic Analysisple and three axis servomotor positioning controlled by application created in MATLAB programming environment. Output of the application is matrix of coordinates for 3D visualization of deformed cartridges for firearm identification process. Measured example results are included.
16#
發(fā)表于 2025-3-24 10:08:29 | 只看該作者
17#
發(fā)表于 2025-3-24 13:41:52 | 只看該作者
Modified Discrete LQ Control Algorithm for Situations with the Scan Period Variancef the scan period into account and partially compensates their influence. We also show that such a controller can be implemented even on low-performance hardware platforms, if they are equipped with a sufficient amount of memory.
18#
發(fā)表于 2025-3-24 17:43:39 | 只看該作者
19#
發(fā)表于 2025-3-24 21:19:09 | 只看該作者
Mean Square Stability and Dissipativity of Split-Step Theta Method for Stochastic Delay Differentialsymptotically mean square stable. The stability for the method with . is also obtained under a stronger assumption. It further studies the mean square dissipativity of the split-step theta method with . and proves that the method possesses a bounded absorbing set in mean square independent of initial data.
20#
發(fā)表于 2025-3-25 00:17:04 | 只看該作者
Nonlinearity and Time-Delay Compensations in State-Space Model Based Predictive Controlng technique has been applied in order to deal with the system dynamic burdened with a delayed control input. The improved predictive controller has been implemented and applied on illustrative examples of tank system.
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