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Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present an ant-colony based algorithm for solving optimization problems with continuous variables, labeled Continuous Differential Ant-Stigmergy Algorithm (CDASA). The CDASA is applied to dynamic optimization problems without any modification...
This paper treats a tuning of PID controllers method using Multi-objective Differential Evolution. The objective was to apply the differential evolution algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki and Kd) by minimizing the multi-objective function. The potential of using Multi-objective Differential Evolution is to identify Pareto-optimal solution. A classic...
In cyber-physical systems, computing resources are often limited and overload situations may occur. For overload avoidance, job skipping is a useful and simple method. However, job skipping causes a state estimation error of a dynamic observer in an output-feedback controller. In this paper, we propose a modified observer so as to reduce it and maintain a control performance.
This paper studies the identification of the wiener-Hammerstein model where the static nonlinearities are surrounded by two linear dynamic system. Therefore, we use a special form of nonlinearity representation ‘the multisegment piecewise-linear characteristic’ and the half-substitution approach to linearize and to separate the model parameters. Hence, due to linearity in the model parameters, we...
Auxiliary noise, injected in active noise control (ANC) system for on-line secondary path modeling (SPM), contributes to the residual error (which we want to minimize). In this paper, two new schemes for controlling the auxiliary noise injection are proposed. The first method is ON/OFF control in which an additional fixed filter is used to temporarily hold the tap-weights of the adaptive on-line SPM...
This paper considers the iterative learning control (ILC) for a class of nonlinear systems with random packet dropout. It is assumed that an ILC scheme is implemented via a networked control system (NCS), and that during the packet transfer between the remote plant and the ILC controller packet dropout occurs. A new formulation is employed to model the packet dropout case, where the random dropout...
Under ‘Components and Systems’ in FP7-ICT, over the period 2007–2012, the EU has so far invested about 100M€ on Computing Systems research. Building on the industrial constituencies and activities of the Joint Technology Initiative ARTEMIS and complementing research on embedded systems and control, research and innovation on Computing Systems covers a broad spectrum of issues from multi-core scalability...
This paper explores the feasibility of fully-distributed architectures for the electric power industry. In such architectures, the various electric power ecosystems interact with each other to achieve their own operational and economic objectives without the need for real-time centralized coordination or optimization. This paper uses an efficient distributed optimal power flow algorithm which is applicable...
This paper investigates a distributed formation control problem in an operator-vehicle network where each vehicle is remotely controlled by an operator. Each operator-vehicle pair is attacked by an adversary, who corrupts the commands sent from the operator to the vehicle following a partially unknown strategy. We propose a novel distributed control algorithm that allows operators to adapt their policies...
The graph topology plays a central role in characterizing the robustness of feedback systems. In particular, it provides necessary and sufficient conditions for the continuity properties of the transfer matrices of stabilized closed-loop systems. It is possible to derive stronger conclusions by confining our attention to a compact set of controllers. Specifically, if a family of plants is stabilized...
In this paper, we want to study how natural and engineered systems could perform complex optimizations with limited computational and communication capabilities. We adopt a continuous-time dynamical system view rooted in early work on optimization and more recently in network protocol design, and merge it with the dynamic view of distributed averaging systems. We obtain a general approach, based on...
In the first part of the paper, robust consensus was discussed for continuous-time multi-agent systems with uncertainties in the dynamics. As an application of the robust consensus analysis, this part of the paper further investigates distributed multi-agent coordination via event-triggered strategies, where the control input of each agent is piecewise constant. Each agent chooses the instances to...
Most of the controllers for FACTS devices are based on the PI controller. Although the PI controllers are simple and easy to design, their performance deteriorates when the controlled object is highly nonlinear. This paper aims to propose an On-Line Self-Learning PID (OLSL-PID) controller design of SSSC for power system stability enhancement and to overcome the PI controller problems. The PID controller...
In recent years, there has been a growing interest in real world application of heuristic methods. Memetic Algorithm (MA) is one of such effective heuristics. In this paper, we represent an efficient MA for determining optimal proportional-integral-derivative (PID) controller parameters of an AVR system. This MA is developed by combining a competitive variant of Deferential Evolution (DE) and a Local...
An incremental control action sliding mode controller (ISMC) is presented in the current work to solve the chattering characteristic of sliding mode controller (SMC). The design of the ISMC controller takes into account critical parameters that are usually discarded in the design of the SMC. These parameters are the time constant of the actuator, the step size of the real time solver, previous state...
This paper focuses on using the self organization fuzzy neural network controller (SOFNN) to accomplish the periodic motion control of the linear induction motor (LIM) drive. The structure of the fuzzy-neural-network (FNN) is incorporated into the self-organization concept to form the SOFNN control system for alleviating the computation burden. Moreover, the adaptive laws for network parameters are...
PID controller for control system parameter optimization problem, we introduced Quantum-behaved particle swarm optimization (QPSO) algorithm, this method has the quantum behavior of particles, which can search the entire feasible region, the state only with particles position vector to describe, and they rely on only one parameter, the convergence speed and global convergence properties are superior...
This paper presents a proof of convergence of a computationally efficient decentralized rendezvous algorithm for a group of autonomous agents. The algorithm uses a rectilinear decision domain (RDD) as against the circular decision domain assumed in earlier work reducing its computational complexity considerably. Simulation results in earlier work has shown that, compared to the standard Ando's algorithm,...
This paper considers the problem of designing a decentralized PI observer with prescribed degree of convergence for a set of interconnected systems. Under the assumption of linear interactions, we provide a direct design procedure for the PI observer which can effectively be used in disturbance estimation and observer-based control design enhancing the robustness properties. In this connection we...
The objective of this paper is to present fast algorithm for large scale box constrained quadratic program which arises from linear model predictive control (MPC) with hard limits on the inputs. The presented algorithm uses the combination of the gradient projection method and the partial conjugate gradient method. The special structure of the MPC problem is exploited so that the conjugate gradient...
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