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In this paper, we present a perspective that a solution process for a class of distributed optimization is passive. After formulating the intended distributed optimization problem, we design a distributed optimization dynamics based on so-called PI consensus algorithm. The dynamical system is then shown to be regarded as a feedback interconnection of passive systems and hence to preserve passivity...
We study a deterministic primal-dual subgradient method for distributed optimization of a separable objective function with global inequality constraints. To control the norm of dual variables, we augment the Lagrangian function with a regularizer on dual variables. Specifically, we show that under a certain restriction on the step size of the underlying algorithm, the norm of dual variables is inversely...
There has been a growing effort in studying the distributed optimization problem over a network. The objective is to optimize a global function formed by a sum of local functions, using only local computation and communication. Literature has developed consensus-based distributed (sub)gradient descent (DGD) methods and has shown that they have the same convergence rate O(log t/√t) as the centralized...
Typical coordination schemes for future power grids require two-way communications. Since the number of end power-consuming devices is large, the bandwidth requirements for such two-way communication schemes may be prohibitive. Motivated by this observation, we study distributed coordination schemes that require only one-way limited communications. In particular, we investigate how dual descent distributed...
As independent service providers shift from conventional energy to renewable energy sources, the power distribution system will likely experience increasingly significant fluctuation in supply, given the uncertain and intermittent nature of renewable sources like wind and solar energy. These fluctuations in power generation, coupled with time-varying consumer demands of electricity and the massive...
We study a novel variation of online convex optimization where the algorithm is subject to ramp constraints limiting the distance between consecutive actions. Our contribution is results providing asymptotically tight bounds on the worst-case performance, as measured by the competitive difference, of a variant of Model Predictive Control termed Averaging Fixed Horizon Control (AFHC). Additionally,...
The linguistic weighted average (LWA) of interval type-2 fuzzy sets is an extension of the fuzzy weighted average (FWA) of type-1 fuzzy sets. Currently, the commonly used methods of both FWA and LWA are based on a-cuts decomposition of the type-1 of type-2 fuzzy sets, which involves large amount of calculations, and the result is not accurate. In this paper, we propose a new algorithm to obtain the...
Automatic generation control (AGC) regulates mechanical power generation in response to load changes through local measurements. Its main objective is to maintain system frequency and keep energy balanced within each control area so as to maintain the scheduled net interchanges between control areas. The scheduled interchanges as well as some other factors of AGC are determined at a slower time scale...
In this paper, the linear minimum mean square error beamformers are designed for relay-assisted cloud radio access network (C-RAN). In C-RAN, the remote radio units are separated from the baseband units to save energy cost. To further enhance network coverage, it is a good choice to duly arrange relay nodes. Regrading the per-antenna power constraints at both the relay nodes and the remote radio heads...
In this paper, the low information-exchange and robust precoding design for distributed antenna systems is investigated, which is of great importance for the new mobile network architecture namely cloud radio access networks (C-RAN). Relying on an interesting low complexity decomposition algorithm, a distributed robust linear minimum mean-square-error (LMMSE) precoding algorithm is proposed. Exploiting...
Consider secure transmissions over the downlink of a multiuser MISO system with independent confidential messages, each of which is intended for one of the users and should keep secret from others. We are interested in a scenario where users have individual secrecy rate requirements. This scenario is practical but has drawn little attention in the literature so far. In this paper, we propose a secrecy...
As a formal description approach, the trust network can intuitively describe trust relationships among entities in virtual communities and attracts great attentions. The trust network visualization is a key to explore the mechanism of trust propagation and study the trust evaluation. Most existing network visualization approaches only take into account the undirected and unweighted graphs, which cannot...
The central goal in multi-agent systems is to engineer a decision making architecture where agents make independent decisions in response to local information while ensuring that the emergent global behavior is desirable with respect to a given system level objective. Our previous work identified a systematic methodology for such a task using the framework of state based games. One core advantage...
An algorithm is proposed based on multiple choice of video watermarking scheme, watermark information is embedded in the video file at the video encoding stage. The scheme implements three main functions, including an optional multi-algorithm, embedded in the proportion of adjustable and extract frame number can set. We development a video watermarking system under the program design, experimental...
In order to escape from premature convergence and lack good direction in particles the evolutionary process, quantum technology and immunologic mechanism were employed, and an adaptive immune quantum-behaved particle swarm optimization algorithm was provided. Meanwhile, according to larger calculation and longer consumed time, parallel computation technology was introduced into the provided algorithm...
The central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to a given system level objective. Ideally, a system designer seeks to satisfy this goal while conditioning each agent's control law on the least amount of information possible. Unfortunately, there are no existing methodologies for...
In order to improve real-time and robustness of the lane detection and get more ideal lane, in the image preprocessing, the filter is used in strengthening lane information of the binary image, reducing the noise and removing irrelevant information. The lane edge detection is by using Canny operator, then the corner detection method is used in getting the Image corners coordinates and finally using...
One of the main challenges in Grid is efficient discovery of resources to the tasks submitted by users. Due to the lack of centralized control and the dynamic nature of resource availability, any successful discovery mechanism should be highly distributed and robust to the change in the Grid environment. In this paper, a research of resource discovery in a Grid environment has made on theory. We present...
The central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to a given system level objective. In many systems, such as cooperative robotics or distributed power control, the design of these local control algorithms is further complicated by additional coupled constraints on the agents' actions...
This paper studies the design of data fusion algorithm for asynchronous system with integer times sampling. Firstly, the multisensor asynchronous samplings is mapped to the basic axis, accordingly a sampling sequence of single sensor can be taken. Secondly, aiming at the sensor with the densest sampling points, the modified parallel filtering is given. Afterwards, the sequential filtering fusion method...
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