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In this paper, the robust recursive filtering problem is investigated for a class of uncertain multi-rate systems in sensor networks. Each sensor node receives signals from its neighboring node according to a given network topology. The uncertain multi-rate system under consideration is first transformed into a singular uncertain single-rate system by recurring to the lifting technique. Then, an optimal...
With the development of the Plug-in Electric Vehicles (PEVs), it has become a significant part of electric load. The optimal PEVs' charging and discharging scheduling is a vital problem when PEVs connect into the smart grid. In most literatures, the charging and discharging procedure is assumed idealized. In reality, many uncertainties are exist during the procedure, such as the conversion efficiency,...
This paper deals with the robust control problem for linear systems with both gain and time constants variations under fractional order PIλDμ controller. A robustness specification to the parameters variations is proposed. For those systems with more than one uncertain time constant, the robustness specifications are analyzed and simplified. To minimize the phase offset nearby the crossover frequency,...
Single-image blind deblurring could be considered as an important preprocessing step in imaging information fusion. Its purpose is to simultaneously estimate blur kernel and latent sharp image from only one observed blurred image. Blind deblurring has been attracting increasing attention in the fields of image processing, computer vision, computational photography, etc. However, it is a typically...
We present optimization of photonic crystal cavities. The optimization problem is formulated to maximize the Purcell factor of a photonic crystal cavity. Both topology optimization and air-hole-based shape optimization are utilized for the design process. Numerical results demonstrate that the Purcell factor of the photonic crystal cavity can be significantly improved through optimization.
In this paper, a neurodynamic optimization approach is proposed for robust pole assignment of fractional-order control systems. Compared with integral-order systems, the pole assignment of fractional-order systems is more challenging due to variability of stability region. The robust pole assignment is formulated as a constrained optimization problem, and a robustness measure is derived as a pseudoconvex...
Device to device(D2D) communication exploits the proximity between mobile devices to allow direct communication. Doing so offers advantages which include less energy consumption, hop gain, reduced load on the base station among others. For instances where the channel between the D2D devices does not allow for efficient direct communication, a suitably selected idle mobile device can act as a relay...
Differential evolution (DE) is an efficient and robust evolutionary algorithm, which has been widely and successfully applied to solve global optimization problems. Although many methods have been developed based on the population topology to improve the performance of DE, the effects of population topology interacted with the functions being optimized are not considered in most of the algorithm designs...
This paper studies a class of fuzzy-stochastic resource-allocation (fSRA) problems which involve both subjective and objective uncertainty (i.e., fuzziness and randomness). In the FSRA, the capability of a resource to complete a task is characterized by a probability parameter which is uncertain and stochastic while the reward of a task is expressed as a fuzzy number. The FSRA problem is formulated...
In this paper, we propose a robust genetic programming model for a dynamic strategy of stock portfolio insurance. With portfolio insurance strategy, we need to allocate part of the money in risky asset and the other part in risk-free asset. Our applied strategy is based on constant proportion portfolio insurance (CPPI) strategy. For determining the amount for investing in risky assets, the critical...
In this paper, the problem of robust minimax testing of binary composite hypothesis is considered, while the actual probability densities are located in neighborhoods characterized by the Itakura-Saito divergence. And then the existence of a saddle value condition is proved under Sion's minimax theorem. Moreover, we derive the least favorable distributions and the robust decision rule involved four...
For linear parameter varying (LPV) systems with bounded parameter measurement errors and parameter changes, we predict the families of future models which can deal with the measurement errors by utilizing the information on system parameters. Based on multi-step control sets and parameter-dependent feedback control, a mixed multi-step feedback robust model predictive control (RMPC) is developed to...
Dimensionality reduction is a challenging task for high dimensional data processing in machine learning and data mining. As an effective dimension reduction technique, unsupervised feature selection aims at finding a subset of features to retain the most relevant information. In this paper, we propose a novel unsupervised feature selection method, called Manifold Regularized Robust Unsupervised Feature...
This paper is concerned with the non-fragile robust model predictive control (MPC) for a class of polytopic uncertain systems with packet dropouts. A novel system with respect to non-fragile controller and packet dropouts is investigated by MPC approach. A non-fragile controller is adopted with hope to deal with the controller perturbations and deviations, which might be a potential factor for system...
In this paper, we propose a self-triggered robust model predictive control (MPC) algorithm for constrained linear discrete-time systems subject to additive disturbances. First, worst case scenarios are considered in the MPC problem formulation to achieve robust constraint satisfaction. Second, a self-triggered control scheduler is proposed to minimize the frequency of performing optimization and the...
This paper deals with Fractional Complex Order Controller FCOC tuning. The paper presents new structure of FCOC with the form PIx+iyD, in which x and y are the real and imaginary parts of the integral complex order, respectively. With the controller's five parameters, we can fulfil five design requirements. Design specifications are set to ensure robustness toward gain variations, noise on system...
The goal of this paper is to present a software tool intended to aid at the design of 2DoF PI/PID controllers by using the Model REference Robust Tuning (MoReRT) approach. This tool is suitable for those who need to design the PID controller for the simple closed-loop feedback in an effective and user-friendly way. The tool has been implemented in MATLAB<®/SIMULINK<®. and has been designed on...
Automatic modulation classification (AMC) acts as a critical role in cognitive radio network, which has many civilian and military applications including signal demodulation and interference identification. In this paper, we explore a novel feature based (FB) AMC method using multi-gene genetic programming (MGGP) and multinomial logistic regression (MLR) jointly with spectral correlation features...
Two novel kinds of anti-resonant polygonal-core fibers are introduced, including a triangular-core fiber-design with surrounding silica-glass webs [1], and a negatively-curved square-core fiber-design.
In this paper, we consider the problem of hybrid multi-input multi-output (MIMO) transceiver design for a non regenerative hybrid two-way amplify-forward (AF) relay based millimeter wave (mmWave) communication system. We propose two low complexity mmWave system designs based on the quality of available channel state information (CSI). We first propose the design of transceivers and a two- way AF relay,...
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