Control of wireless-networked lighting in open-plan offices

Wen, Yao-Jung; Agogino, Alice M.

doi:10.1177/1477153510382954

Cited by 83 publications

(50 citation statements)

References 10 publications

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“…In this sense, advances in building designs and networked sensor-actuator systems have motivated the development of techniques based on hierarchical structures [56], systems with novel decentralized integral controllers [57], and wireless sensors with optimization algorithms [58], to deal with the energy efficiency and provide comfort to the occupants.…”

Section: Engineering Applications Lighting Systemsmentioning

confidence: 99%

The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory

et al. 2017

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Recently, there has been an increasing interest in studying large-scale distributed systems in the control community. Efforts have been invested in developing several techniques wishing to address the main challenges found in this kind of problems, for instance, the amount of information to guarantee the proper operation of the system and the economic costs associated to the required communication structure. Moreover, another issue appears when there is a large amount of required data to control the system. The measuring and transmission processes, and the computation of the control inputs make closed-loop systems suffer from high computational burden.One way to overcome such problems is to consider the use of multi-agent systems framework, which may be cast in game-theoretical terms. Game theory studies interactions between self-interested agents. Particularly, this theory tackles with the problem of interaction between agents using different strategies that wish to maximize their welfares. For instance in [1], the authors provide connections between games, optimization, and learning for signal processing in networks. Other approaches in terms of learning and games can be found in [2]. In [3], distributed computation algorithms are developed based on generalized convex games that do not require full information, and where there is a dynamic change in terms of network topologies. Applications of game theory in control of optical networks and game-theoretic methods for smart grids are described in [4], [5], [6]. Another approach in game theoretical methods is to design protocols or mechanisms that possess some desirable properties [7]. This approach leads to a broad analysis of multi-agent interactions, particularly those involving negotiation and coordination problems [8]. Other game-theoretical applications to engineering are reported in [9].From a game-theoretical perspective, it can be distinguished among three types of games: matrix games, continuous games, and differential/dynamic games (see "The relationship among matricial games, full-potential population games, and resource allocation problems"). In matrix games (that generally use the normal form), individuals play simultaneously and only once, and the decision is mainly based on a static terms. In this case, players or agents are individually treated. Differently, in continuous games, players have infinitely many pure strategies [10], [11]. On the other hand, in dynamic games it is assumed that players can use some type of learning mechanism that allows them to adjust the actions taken based on their past decisions. Basically, it can be said that dynamic games are characterized by three main problems: i) how to model the environment where players interact; ii) how to model the objectives of players; and iii) how to specify the order in which the actions are taken and how much information each player possesses. In this case, it is assumed that there are interactions between large number of agents (which are usually unknown) [12].Among these dynamic game...

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Section: Engineering Applications Lighting Systemsmentioning

confidence: 99%

The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory

et al. 2017

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“…We focus on monitor and control of physical variables, whose physical field can be described by Gaussian models, such as temperature and illumination [5,10,12]. Denote (x i , y i ) as the location of the sensor S i , andz i as the normalized value of sensor S i 's measurement z i , expressed asz i = zi−zmin zmax−zmin , where z min = min i {z i } and z max = max i {z i }.…”

Section: Gaussian-based Physical Field Distributionmentioning

confidence: 99%

Collaborative State Estimation and Actuator Scheduling for Cyber-Physical Systems Under Random Multiple Events

Kritikakou

Cao

2018

Ad-Hoc, Mobile, and Wireless Networks

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Abstract. The design of fast and effective coordination among sensors and actuators in Cyber-Physical Systems (CPS) is a fundamental, but challenging issue, especially when the system model is a priori unknown and multiple random events can simultaneously occur. We propose a novel collaborative state estimation and actuator scheduling algorithm with two phases. In the first phase, we propose a Gaussian Mixture Model (GMM)-based method using the random event physical field distribution to estimate the locations and the states of events. In the second phase, based on the number of identified events and the number of available actuators, we study two actuator scheduling scenarios and formulate them as Integer Linear Programming (ILP) problems with the objective to minimize the actuation delay. We validate and demonstrate the performance of the proposed scheme through both simulations and physical experiments for a home temperature control application.

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“…LED luminaires are already easily dimmed and can change spectrum and light distribution on demand. Developments in wireless communication and computing power are making it possible for a regular array of luminaires to be adjusted to provide occupants with their preferred illuminances at minimum electricity consumption, and doing this without moving luminaires when workstations are moved [33]. The concept of plug and play lighting cannot be far away [12].…”

Section: Lighting Controls and Lenimentioning

confidence: 99%

Lighting Design in Europe: Aligning the Demands for Lower Energy Usage with Better Quality

Kelly¹,

Duff²

2015

JCEA

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Lighting design is one of the fastest changing areas in building engineering. It has evolved significantly in recent years due to changing technology and demands for improved quality, better control, reduced energy and sustainability. This paper is an overview of what is happening in Europe and elsewhere and examines the literature to find that latest recommendations in the Code for Lighting issued by the SLL (Society of Light and Lighting) in the UK change previous demands for equal illuminance across a working plane to more specific and demanding criteria. There are recommendations for qualitative metrics and better distribution of light so as to enhance the visual appearance of interiors. European standards are also examined and the LENI (lighting energy numerical indicator) has been found to be a better way of reducing energy than installed load. New LED (light-emitting diode) lamp technology is examined and daylight is discussed in the context of these changing demands. It is found that lighting standards and design are changing for the better but that standards will need to evolve further if they are to ensure good quality lighting.

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Control of wireless-networked lighting in open-plan offices

Cited by 83 publications

References 10 publications

The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory

The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory

Collaborative State Estimation and Actuator Scheduling for Cyber-Physical Systems Under Random Multiple Events

Lighting Design in Europe: Aligning the Demands for Lower Energy Usage with Better Quality

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