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To simplify the design and realization of controller, the method of robust H∞ static output feedback is discussed in this paper. A sufficient condition that satisfies given performance index is presented for constrained system, and an H∞ static output feedback control design method is proposed. By converting the constrained conditions and the elliptical set that contains output trajectory into a set...
A joint power system state and topology estimator based on a combined Weighted Least Squares (WLS) and Weighted Least Absolute Value (WLAV) strategy is proposed. The resulting coestimation algorithm is devised to simultaneously provide estimates to the analog power system variables and validate the current topology of the electric network. This is accomplished by formulating state & topology coestimation...
We studied the Minimum Energy Broadcast problem in wireless sensor network that were subjected to hard constraints on available energy and equipped with directional multibeam antennas by formulating and solving the corresponding optimization problem. Multibeam is the combination of two technologies of multi-channel and directional antennas. It was used to save energy further, improve the throughput...
Recently, distance metric learning has been received an increasing attention and found as a powerful approach for semi-supervised learning tasks. In the last few years, several methods have been proposed for metric learning when must-link and/or cannot-link constraints as supervisory information are available. Although many of these methods learn global Mahalanobis metrics, some recently introduced...
We construct a scale space of shape of closed Riemannian manifolds, equipped with metrics derived from spectral representations and the Hausdorff distance. The representation depends only on the intrinsic geometry of the manifolds, making it robust to pose and articulation. The computation of shape distance involves an optimization problem over the 2p-element group of all p-bit strings, which is approached...
Grid-connected photovoltaic power system is not only related to solar battery and grid inverter technology, but also involves the system control and optimization problem. The research and improvement about control technology play a vital role in improving the efficiency of the system and Realizing optimization grid. On the basis of considering about control requirements in grid-connected photovoltaic...
The design and implementation of a new control scheme for reactive power compensation, voltage regulation and transient stability enhancement for wind turbines equipped with fixed-speed induction generators in large interconnected power systems is presented. The nonlinear behavior of wind turbines has been represented in this paper by an uncertain term, derived from the Cauchy remainder of the Taylor...
In this study, the model-based fault detection and isolation (FDI) approach of parity-space is adapted to the diagnosis of sensor faults in power systems. Hardware redundancy is conventionally utilized to overcome this problem. However, this is an expensive solution. Instead, we propose to detect and locate faults by the systematic use of the system's analytical redundancy, with a global view of the...
C-regression models are known as very useful tools in many fields. Since now, many trials to construct c-regression models for data with uncertainty in independent and dependent variables have been done. However, there are few c-regression models for data with uncertainty in independent variables in comparison with dependent variables now. The reason is as follows. The models are constructed using...
Independent component analysis with reference (ICA-R), is a technique to incorporate prior information about the desired sources as reference signals into the contrast function of ICA so as to form an augmented Lagrangian function under the framework of constrained ICA (cICA). The ICA-R algorithm is constructed by solving the optimization problem via Newton-like learning style. Unfortunately, this...
In many optimization problems, regardless of the domain to which it belongs, the structural component that the interactions among variables provides can be seen as a network. The impact that the topological characteristics of that network has, both in the hardness of the problem and in the performance of the optimization techniques, constitutes a very important subject of research. In this paper,...
This paper examines optimal control strategies for temperature set point in office buildings. The control strategies included a base control strategy of fixed temperature set point and an advanced strategy. The advanced control for utilizing building thermal mass adjusts the temperature set point while assuring indoor thermal comfort. The optimization problem for control strategy is formulated based...
The attitude regulation of exo-atmospheric interceptor can be realized via pulsed attitude-control thrusters for the lack of aerodynamics in an exo-atmospheric environment. The pulsed thruster can only generate constant force, considering of constraint on control input is required in the design of On-Off attitude control law. Firstly, the optimization problem of predictive control for system with...
Model predictive control (MPC) is to solve an optimization problem for a finite future at current time and to implement the first optimal control input as the current control input. To improve the performance of the Stirred Tank Reactor, a new method based on predictive hierarchical control was introduced. As a modification of the regulatory controller usually implies higher costs, it is a common...
Computer detection for the current wide application in the textile industry, using computer digitized fabric image to achieve recognition and analysis. With a positive feedback, distributed computation to solve ant colony algorithm is a combination of new methods of optimization problems, and then proposed an improved ant colony algorithm based on fabric image detection method. The method for the...
A major concern in wireless sensor networks is to maximize network lifetime while maintaining a high quality of services (QOS) such as target coverage and network connectivity. Communication and sensing consume energy, therefore efficient power management can extend network lifetime. in this paper we consider a large number of static sensor nodes are deployed in order to monitor a number of target...
This study addresses a strategic design problem for public bicycle sharing systems incorporating with bicycle stocks considerations. The key design decisions considered are: the number and locations of bicycle stations in the system, the creation of bicycle lanes between bicycle stations, the selection of paths of users between origins and destinations, and the inventory levels of sharing bicycles...
In this paper, we propose a novel semisupervised Gaussian regression approach for the estimation of biophysical parameters from remote sensing data with limited training samples. During the learning phase, unlabeled samples are exploited to inflate the training set. The estimation of the targets associated with these samples is carried out by solving an optimization problem formulated within a genetic...
The novel Imperialist Competitive Algorithm (ICA) that was recently introduced has a good performance in some optimization problems. The ICA inspired by sociopolitical process of imperialistic competition of human being in the real world. In this paper, a new Adaptive Imperialist Competitive Algorithm (AICA) is proposed. In the proposed algorithm, for an effective search, the Absorption Policy changed...
Rule set is a commonly used structure in rule engine. As an unambiguous rule set, the execution result in any context should be independent from the rule execution sequence. This paper proposes the necessary conditions of primal rule set to be unambiguous. An unambiguity verification algorithm for general rule set is also proposed to improve the unambiguity checking efficiency based on condition expression...
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