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In this paper, a practical Identification strategy is applied to the optimal design of fractional-order iterative learning control (FOILC). The initialized fractional-order gray-box system with commensurate order or non-commensurate order is identified by using the fractional-order iterative learning Identification and the least square or instrumental variable method. The optimal Dα-type FOILC is...
In this paper, a suboptimal subcarrier and power allocation algorithm has been developed for the orthogonal frequency division multiplexing(OFDM)-based relay cognitive radio systems. The channel capacity of secondary users is maximized while keeping the total interference introduced to primary user less than a given threshold with a specified power. Compared with the other power allocation algorithm,...
To deal with the problems of topological structure cannot adjust adaptively, easy to trap into the local minimum and diversity losing in traditional particle swarm optimization algorithm, a newly adaptive PSO algorithm based on dynamic link matrix was proposed, which build the neighborhoods though link matrix and divide them into the sub-swarm based on feature clustering. The algorithm can adjust...
The design objectives of PID controller is to choose the reasonable parameters which can make the system meet the design requirements. Specific to the problem of the controller parameter optimization of flight control system, the classic tuning method of PID controller parameters is cumbersome and need repeating trial. What's more, the controller parameters cannot be guaranteed to be optimal. Therefore,...
The online computational burden associated with the solution of the NMPC optimization problem is a key issue when applying nonlinear model predictive control (MPC) to fast dynamic systems. In order to improve the computation efficiency, a novel hardware implementation method for NMPC on a field programmable gate array (FPGA) chip is proposed. The optimization problem formed by NMPC is solved by particle...
This paper presents a new workforce allocation optimization model for project scheduling problems with multi-skilled workforce constraints (PSPMSWC), under uncertainty about the projects. The model is a mixed-integer program(MIP) model that aims at maximizing the total profit. As a subproblem, scheduling and staff assignment for projects must also be optimized. In the experiment, projects are selected...
In the paper, a regularized correntropy criterion (RCC) for radial basis function neural network (RBFNN) is proposed. In RCC, the Gaussian kernel function is used to replace the Eculidean norm of the sum-squared-error (SSE) criterion. Replacing SSE by RCC can improve the anti-noise ability of RBFNN. Moreover, the optimal weights and the optimal bias terms can be iteratively obtained by the half-quadratic...
Nowadays, manufacturing enterprises consumes a significant amount of energy; consequently, it has a significant potential to reduce resource consumption. However, key performance indicators of the traditional production do not completely take into account environmental impacts like energy consumption in production planning and scheduling. Against this background, an energy-aware scheduling model for...
In this paper, we are concerned with the quantized H∞ control problem for a class of stochastic systems with random communication delays. The system under consideration involves signals quantization, Itô stochastic disturbance as well as random communication delays. The measured output and the control input quantization are considered simultaneously. We aim at designing an observer-based controller...
In this paper, based on the results of complex analysis, we address and analyze some conclusions proposed by V.Blondel et al., which concern the simultaneous stabilization of three linear systems and a special bistabilization problem, named as “Chocolate Problem”. As for the simultaneous stabilization problem of three linear systems, it is shown that there is a slight flaw in the sufficiency part...
This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local search (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of the overall cost and overall efficiency. The harmony search algorithm is used to conduct the global exploration task, while the iterated local search performs...
In this paper, coordinating technique for the multi-layer model predictive control (MPC) of complex water network is proposed. A multi-layer topology structure resulting from a functional decomposition of water network is briefly presented. Inside each layer, a MPC based controller is used. Between the related two layers, a multi-layer coordinating mechanism is provided to generate control strategies...
A direct method is discussed for multistage launch vehicle ascent trajectory optimization. First the optimal control problem is modeled with the performance index as maximum terminal mass. A modified Gauss Pseudospectral method is used to design a rapid optimal algorithm for multistage launch vehicle ascent trajectory. The nonlinear terminal state constraints are converted into linear terminal state...
Compared with the conventional optimization approaches, Gauss Pseudospectral Method (GPM) can deal better with optimal problems with complex constraints and is less time consuming. As a numerical technique, GPM transforms the optimal control problem to a nonlinear programming problem (NLP) by using discrete approximation. This paper considers a cruise missile's mission which is to hit a fixed target...
Multimodal optimization problems are typical those problems where both a global optimum and one or more local optima are included, which can be tackled with by evolutionary algorithms. This paper proposes an improved artificial immune network for multimodal function optimization. In the antibody population, antibodies are allocated to three spaces, i.e., the elitist space, the common space and the...
This paper introduces a rail length-limited parallel-coupled cart-pendulums system which is one of the morphs from the inverted pendulum family. A swing-up control strategy based on optimization algorithm (pattern search) instead of manual tuning has been proposed for such kind of system to swing the pendulums up cooperating with the original stabilizing controller. The blockset-view of the system...
In this paper, we study a transmit null-steering beamforming problem for wireless sensor networks in uncertain communication environment. Given a desired receiver direction, the system requires to avoid the unknown eavesdroppers as well. In this case, we adjust both the sensors distribution and phase offsets such that beamforming is achieved at the desired direction, and meanwhile the communication...
An improved harmony search algorithm is presented for solving continuous optimization problems in this paper. In the proposed algorithm, an elimination principle is developed for choosing from the harmony memory, so that the harmonies with better fitness will have more opportunities to be selected in generating new harmonies. Two key control parameters, pitch adjustment rate (PAR) and bandwidth distance...
Firstly, this paper established an optimization model on laying photovoltaic battery with the optimal horizontal obliquity aiming at maximum radiation intensity and the slope obliquity as the decision variable. Then, proposed an “Embedded Search Algorithm” to solve this model. The algorithm not only has high computation efficiency, but also can according to the requirements of the project to achieve...
According to the laid problem of photovoltaic cells, first of all, we need to divide the wall which laid photovoltaic cells into pieces to lay more photovoltaic cells; Secondly, to make total electricity generation maximize and unit electricity generation cost as little as we can, we established the 0–1 multi-objective programming model; Thirdly, aiming at lowest cost, the inverter configuration optimization...
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