39,295 research outputs found
Distributed MPC for coordinated energy efficiency utilization in microgrid systems
To improve the renewable energy utilization of distributed microgrid systems, this paper presents an optimal distributed model predictive control strategy to coordinate energy management among microgrid systems. In particular, through information exchange among systems, each microgrid in the network, which includes renewable generation, storage systems, and some controllable loads, can maintain its own systemwide supply and demand balance. With our mechanism, the closed-loop stability of the distributed microgrid systems can be guaranteed. In addition, we provide evaluation criteria of renewable energy utilization to validate our proposed method. Simulations show that the supply demand balance in each microgrid is achieved while, at the same time, the system operation cost is reduced, which demonstrates the effectiveness and efficiency of our proposed policy.Accepted manuscrip
Distributed control design for underwater vehicles
The vast majority of control applications are based on non-interacting decentralized control designs. Because of their single-loop structure, these controllers cannot suppress interactions of the system. It would be useful to tackle the undesirable effects of the interactions at the design stage. A novel model predictive control scheme based on Nash optimality is presented to achieve this goal. In this algorithm, the control problem is decomposed into that of several small-coupled mixed integer optimisation problems. The relevant computational convergence, closed-loop performance and the effect of communication failures on the closed-loop behaviour are analysed. Simulation results are presented to illustrate the effectiveness and practicality of the proposed control algorithm
Protein logic: a statistical mechanical study of signal integration at the single-molecule level
Information processing and decision making is based upon logic operations,
which in cellular networks has been well characterized at the level of
transcription. In recent years however, both experimentalists and theorists
have begun to appreciate that cellular decision making can also be performed at
the level of a single protein, giving rise to the notion of protein logic. Here
we systematically explore protein logic using a well known statistical
mechanical model. As an example system, we focus on receptors which bind either
one or two ligands, and their associated dimers. Notably, we find that a single
heterodimer can realize any of the 16 possible logic gates, including the XOR
gate, by variation of biochemical parameters. We then introduce the novel idea
that a set of receptors with fixed parameters can encode functionally unique
logic gates simply by forming different dimeric combinations. An exhaustive
search reveals that the simplest set of receptors (two single-ligand receptors
and one double-ligand receptor) can realize several different groups of three
unique gates, a result for which the parametric analysis of single receptors
and dimers provides a clear interpretation. Both results underscore the
surprising functional freedom readily available to cells at the single-protein
level.Comment: 19 pages, 4 figures and 9 pages S
Visions and Challenges in Managing and Preserving Data to Measure Quality of Life
Health-related data analysis plays an important role in self-knowledge,
disease prevention, diagnosis, and quality of life assessment. With the advent
of data-driven solutions, a myriad of apps and Internet of Things (IoT) devices
(wearables, home-medical sensors, etc) facilitates data collection and provide
cloud storage with a central administration. More recently, blockchain and
other distributed ledgers became available as alternative storage options based
on decentralised organisation systems. We bring attention to the human data
bleeding problem and argue that neither centralised nor decentralised system
organisations are a magic bullet for data-driven innovation if individual,
community and societal values are ignored. The motivation for this position
paper is to elaborate on strategies to protect privacy as well as to encourage
data sharing and support open data without requiring a complex access protocol
for researchers. Our main contribution is to outline the design of a
self-regulated Open Health Archive (OHA) system with focus on quality of life
(QoL) data.Comment: DSS 2018: Data-Driven Self-Regulating System
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