Parabolic-trough solar collector fields are large-scale systems, so the application of centralized optimization-based control methods to these systems is often not suitable for real-time control. As such, this paper formulates a novel coalitional approach as an appropriate alternative scheme. The key idea split overall field into smaller subsystems, each them governed by local controller. Then, controllers clustered coalitions solve problem related corresponding subset that approximate...

This paper investigates the combination of reinforcement learning and neural networks applied to data-driven control dynamical systems. In particular, we propose a multi-critic actor-critic architecture that eases value function task by distributing it into multiple networks. We also filtered approach offers further performance improvements as training process policy. All studied methods are evaluated with several numerical experiments on multi-tank water systems nonlinear coupled dynamics,...

Distributed population dynamics offer a game-theoretical framework for distributed decision making. As such, the application of these methods to control networked systems has been widely studied in literature. The theoretical analyses available literature have only considered continuous-time formulations dynamics. However, given that modern computers can process information discrete-time fashion, practical implementation dynamics-based is inevitably discrete. In consequence, it paramount...

This letter proposes a novel form of continuous-time evolutionary game dynamics for generalized Nash equilibrium seeking in equality-constrained population games. Using Lyapunov stability theory and duality theory, we provide sufficient conditions to guarantee the asymptotic stability, non-emptiness, compactness, optimality equilibria set proposed certain Moreover, illustrate our theoretical developments through numerical simulation an congestion game.

We consider a large population of decision makers that choose their evolutionary strategies based on simple pairwise imitation rules. describe such dynamic process by the replicator dynamics. Differently from available literature, where payoffs signals are assumed to be updated continuously, we more realistic scenario they occasionally. Our main technical contribution is devise two event-triggered communication schemes with asymptotic convergence guarantees Nash equilibrium. Finally, show...

This paper addresses the decentralized charging coordination of a fleet plug-in electric vehicles (PEVs). In particular, we cast task as constrained multi-objective optimization problem, and solve it using novel receding horizon method based on multi-population games. Our proposed is able to coordinate process arbitrary fleets PEVs, while satisfying hard operational constraints over system's variables. theoretical developments are illustrated through numerical simulations various PEV-...

As an envisioned technology for future smart city networks, this article studies the real-time decentralized charging coordination of a fleet plug-in electric vehicles (PEVs) under feeder capacity constraints. In particular, inspired by some ideas in field population games and payoff dynamics models, we propose novel form continuous-time primal-dual gradient develop control method PEVs networks. The proposed is able to coordinate profiles multiple fashion general convex optimization...

Abstract This paper studies the distributed formation control of multiple differential-drive robots. To solve such problem, we propose a novel class population dynamics, formulated in discrete-time, and obtain sufficient conditions to guarantee asymptotic stability practical implementations where computations are necessarily discrete. Moreover, apply proposed dynamics real multi-robot platform robots achieve geometric formations under partial information limited communication capabilities....

In this paper, we consider the framework of population games and evolutionary dynamics. Based on such a framework, formulate novel approach for distributed Nash equilibrium seeking under partial-decision information class dynamics family contractive games. As main contribution, provide sufficient conditions to guarantee asymptotic stability set equilibria underlying game. To best our knowledge, is first paper address problem in aforementioned context

This paper investigates the problem of generalized Nash equilibrium (GNE) seeking in population games under Brown-von Neumann-Nash dynamics and subject to general affine equality constraints. In particular, we consider that payoffs perceived by decision-making agents are provided a so-called payoff model (PDM), show an appropriate PDM effectively steers GNE. More formally, using Lyapunov stability theory, provide sufficient conditions guarantee asymptotic set equilibria game, for case when...

En la última década, se han venido desarrollando técnicas inspiradas por naturaleza y economía con el fin de resolver problemas control toma decisiones. este artículo, presenta nuevo paradigma que combina los juegos poblacionales modelos dinámicos pago. Se introducen conceptos fundamentales en torno a estas áreas, incluyendo un desarrollo matemático formal (basado teoría pasividad para sistemas dinámicos, estabilidad Lyapunov e invarianza conjuntos) valida su uso tanto abordar optimización...

This paper addresses the problem of distributed Nash equilibrium (NE) seeking in strongly contractive aggregative multi-population games subject to partial-decision information. In particular, we consider scenario where so-called payoff providers multiple populations communicate through a possibly non-complete network, and formulate some consensus-like dynamics for distributedly compute their signals using local information only. Moreover, by exploiting notions <inline-formula...

Population games can be regarded as a tool to study the strategic interaction of population players. Although several attention has been given such field, most available works have focused only on unconstrained case. That is, allowed equilibrium game is not constrained. To further extend capabilities games, in this paper we propose novel class primal-dual evolutionary dynamics that allow consideration constraints must satisfied at game. Using duality theory and Lyapunov stability theory,...

This paper proposes a coalitional model predictive control method for temperature regulation in parabolic-trough solar fields. The global optimization problem is divided into set of local subproblems that will be solved parallel by coalitions. However, these (smaller) problems remain coupled common resource constraint. In this regard, we present population-dynamics-assisted allocation approach to fully decouple the problems. By doing this, each coalition can address its corresponding without...

This paper studies the joint production and maintenance scheduling in microalgae manufacturing systems comprised of multiple machines, which are subject to coupled demand agreements operational constraints. Namely, there some demands be met over a given horizon, each unit must done before deadline. Moreover, number units whose can simultaneously same day is limited, that undergo cannot contribute during their day. To solve considered problem, we design mixed-integer nonlinear model...

This paper considers an agent-zone allocation problem as a multiplayer game. In particular, each agent makes individual decisions, through the negotiation mechanism named generalized regret monitoring with fading memory and inertia. The objective is to optimize agent's utility function (based on their carrying capacities), while they also global utility. Our proposed occupation of zone making decisions. We present sensitivity analysis parameters used in function. Finally, we show simulation...

This paper addresses the distributed resource allocation through unmanned aerial vehicles (UAV) fleets in rural areas. In particular, we cast distribution as an energy constrained vehicle-target assignment problem, and solve this problem with iterative graph algorithm. Our proposed method allows efficient assignment, satisfying UAV energy, load, communication constraints. algorithm is characterized numerical simulations for various fleet sizes area of operations (AO) partitions. Simulation...