Nonlinear Hybrid Model Predictive Control for building energy systems

Mork, Maximilian; Materzok, Nick; Xhonneux, André; Müller, Dirk

doi:10.1016/j.enbuild.2022.112298

Cited by 8 publications

(1 citation statement)

References 54 publications

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“…The discrete-time situation and the continuous-time case have each been studied in [16][17][18] in turn. The set-valued estimating technique seeks to construct ellipsoids around state estimations that are both consistent with the observations and subject to particular norm constraints with regard to the noise disturbances [19]. For all permitted model uncertainties, the steady-state variance of the state estimate error is upper limited by a given constant value, thanks to the careful design of the filters utilized in the guaranteed cost technique [20].…”

Section: ░ 2 Literature Reviewmentioning

confidence: 99%

SCSO-MHEF: Sand Cat Swarm Optimization based MHEF for Nonlinear LTI-IoT Sensor Data Enhancement

Bashir,

Queen,

Habib

2024

IJEER

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Sensor data is an integral component of internet of things (IoT) and edge computing environments and initiatives. In IoT, almost any entity imaginable can be outfitted with a unique identifier and the capacity to transfer data over a network. The estimate problem was formulated as a min-max problem subject to system dynamics and limitations on states and disturbances within the moving horizon strategy framework. In this paper, a novel Sand Cat Swarm Optimization Based MHEF for Nonlinear LTI IOT Sensor Data Enhancement (SCSO-MHEF) is proposed. In the proposed method the MHEF is optimized using Sand Cat Swarm Optimization to enhance sensor data stability tuned by initial parameters. Simulation experiments were conducted on various and unique scenarios in various orders LTI system with IOT sensor data in order to validate the suggested approach. This method can be used to analyze systems with dynamically changing systems. The proposed SCSO-MHEF technique overall accuracy of 84.5%, 87.3 %, and 99.5 % better than Kalman Filter (KF), EKF and Moving Horizon Filter (MHEF) respectively.

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