Abstract
The work investigates the finite-time \({H}_{\infty }\) predictive control problem for stochastic networked control systems (NCSs) with communication constraints. Firstly, by absorbing the phenomena of unmeasurable state and missing measurements, the non-fragile observer (NFO)-based networked predictive control (NPC) strategy is obtained to dispose the time delays and packet dropouts (TD-PDs). To replace previous prediction strategy, a disturbance-based prediction mechanism is adopted. Moreover, based on it, a novel NPC system model is constructed, where the missing measurement is first considered in studying NPC system with TD-PDs, sufficient conditions are derived to ensure the closed-loop systems (CLSs) stochastic finite-time boundedness (SFTB) with a prescribed \({H}_{\infty }\) performance. Subsequently, criteria for co-designing both the uniform NFO-based predictive controller and the NFO are calculated based on the bounded TD-PDs. Finally, an illustrative example clearly verifies the usefulness of the main result.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This paper is supported by the central Guidance on Local Science and Technology Development Fund of Tibet Autonomous Region (No.XZ202201YD0002C).
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Jiang, T., Zhang, Y., Zhong, S. et al. Finite-time \({H}_{\infty }\) predictive control for stochastic networked control systems with delays and packet dropouts. Nonlinear Dyn 110, 1455–1471 (2022). https://doi.org/10.1007/s11071-022-07674-2
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DOI: https://doi.org/10.1007/s11071-022-07674-2