Appropriate daylight control could maximize occupants' visual comfort, potentially saving energy. However, the deployment of daylight controlsystems (DLCSs) is not happening, mainly due to the complex system cali...
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Appropriate daylight control could maximize occupants' visual comfort, potentially saving energy. However, the deployment of daylight controlsystems (DLCSs) is not happening, mainly due to the complex system calibration and the frequent reluctance of occupants toward automatic controlsystems that exclude their participation. In this paper, a human-in-the-loop DLCS is presented. The system is designed to allow the users to have direct interaction via smartphone Bluetooth communication, enabling them to set the lighting values deemed most comfortable nimbly. Special attention has been paid to the power consumption of the DLCS, especially in standby mode. Accessibility of configuration has been taken into consideration, leading to the choice of a wireless configured device. The performance of the prototype DLCS was evaluated experimentally in a side-lit room and compared with that of a commercial controller. The illuminance on a reference work plane was measured during the operation of the systems to observe the controllers' effect on the lamp's luminous flux while simultaneously considering the variation of daylight conditions. Moreover, the energy performance of the systems was studied to obtain information about the energetic effectiveness and convenience of the studied DLCSs. The main results showed that the proposed system could maintain the required target illuminance values on the work plane as daylight conditions vary: the maximum deviation measured using the prototype never exceeded 11 lx. In comparison, the commercial controller reached peaks of 220 lx. Moreover, the energy consumption of the prototype (resulting equal to 370 mVA) was lower than the consumption of the commercial system (equal to 600 mVA), allowing for increased energy savings over the long period. The more straightforward configuration allows the user to better interact with the DLCS.
In this paper, a stochastic framework of analysis and synthesis is proposed for the stabil-ity and H ,,, performance of linear human-in-the-loop (HiTL) controlsystems which involve both human's discrete internal ...
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In this paper, a stochastic framework of analysis and synthesis is proposed for the stabil-ity and H ,,, performance of linear human-in-the-loop (HiTL) controlsystems which involve both human's discrete internal states and machine's continuous-time dynamics. Initially, a hidden semi-Markov model (HS-MM) is used for the human behavior modeling, which takes into account the random nature of human internal state (HIS) reasoning and the so-journ time of HIS, as well as the uncertainty from HIS observation. Subsequently, by inte-grating human model, machine model, and their interaction, a hidden semi-Markov jump system (HS-MJS) model is constructed to describe the HiTL controlsystem. By the tools of stochastic Lyapunov functional and linear matrix inequalities (LMIs), a sufficient and nec-essary condition for the stochastic stability of the HiTL controlsystem via state feedback is then given on the basis of the HS-MJS model. Besides, an LMI-based human-assistance stabilizing control design is developed. For the prescribed disturbance attenuation level, a human-assistance H ,,, controller synthesis method of the HiTL controlsystem is proposed in terms of LMIs. Finally, the developed theoretical results are applied to the steering con-trol of the lane-keeping assistance system.(c) 2022 Elsevier Inc. All rights reserved.
This paper studies the reachable set estimation problem of a class of human-in-the-loop (HiTL) controlsystems described by a controlled hidden Markov jump model. Our aim is to determine an ellipsoid-like set which bo...
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ISBN:
(纸本)9789881563804
This paper studies the reachable set estimation problem of a class of human-in-the-loop (HiTL) controlsystems described by a controlled hidden Markov jump model. Our aim is to determine an ellipsoid-like set which bounds all the machine state trajectories of the HiTL system under zero initial condition. By using a stochastic Lyapunov functional, a reachable set estimation condition is established, which is provided in terms of a set of matrix inequalities. Finally, an example is given to show the effectiveness of the proposed result.
This paper studies the reachable set estimation problem of a class of human-in-the-loop(Hi TL) controlsystems described by a controlled hidden Markov jump model. Our aim is to determine an ellipsoid-like set which ...
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This paper studies the reachable set estimation problem of a class of human-in-the-loop(Hi TL) controlsystems described by a controlled hidden Markov jump model. Our aim is to determine an ellipsoid-like set which bounds all the machine state trajectories of the Hi TL system under zero initial condition. By using a stochastic Lyapunov functional, a reachable set estimation condition is established, which is provided in terms of a set of matrix inequalities. Finally, an example is given to show the effectiveness of the proposed result.
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