The paper presents a novel dynamic neural architecture that allows a flexible and compact representation of nonlinear processes. The suggested neural topology is obtained by providing local internal recurrence for the...
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The paper presents a novel dynamic neural architecture that allows a flexible and compact representation of nonlinear processes. The suggested neural topology is obtained by providing local internal recurrence for the static neural network with complex weights. An evolutionary multiobjective design procedure assists the automatic selection of appropriate neural topologies and parameters. It searches for accurate neural models, characterised by good generalisation capabilities. The experiments reveal that the presented approach is suitable for system identification.
The paper addresses the problem of robust output feedback controller design with a guaranteed cost and parameter dependent Lyapunov function quadratic stability for linear continuous time polytopic systems. The propos...
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The paper addresses the problem of robust output feedback controller design with a guaranteed cost and parameter dependent Lyapunov function quadratic stability for linear continuous time polytopic systems. The proposed design methods lead to a non-iterative LMI based algorithm. Numerical example is given to illustrate the design procedure.
This paper investigates the development of feedforward control strategies for vibration control of pitch movement of a twin rotor multi-input multi-output system (TRMS) using command shaping techniques. The TRMS is a ...
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Software testing is a very important phase for software project process. It is a very difficult job for a software manager to allocate optimally the financial budget to a software project during testing. This article ...
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Software testing is a very important phase for software project process. It is a very difficult job for a software manager to allocate optimally the financial budget to a software project during testing. This article considers the problem of optimal allocation of the software testing cost. There exist several models focused on the development of software costs measuring the number of software errors remaining in the software during testing. The purpose of this paper is to use these models to formulate the optimization problems of resource allocation: Minimization of the total number of software errors remaining in the system;On the condition of assuming that a software project consists of some independent modules, the presented approach extends previous works by defining new goal functions and extending the primary assumption and precondition.
An innovative watermarking scheme based on progressive transmission with genetic algorithms (GA) is proposed. We implement the watermarking embedding and extraction system in the discrete cosine transform (DCT) domain...
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An innovative watermarking scheme based on progressive transmission with genetic algorithms (GA) is proposed. We implement the watermarking embedding and extraction system in the discrete cosine transform (DCT) domain, and apply the JPEG spectral selection mode for progressive transmission. By employing GA with a proper fitness function into the watermarking system, both the watermark imperceptibility and watermark robustness requirements are considered and optimized. In addition, the embedded watermark can be partly extracted in the receiver side even when the watermarked image is being transmitted. Simulation results show both the robustness and the effectiveness of progressive transmission under different attacking schemes and different bandwidth variations.
An optimal feedback law minimizing an objective function including memories of states is proposed. It was not clear how to select the design parameters using the control law. In this paper, we describe a stabilized pa...
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An optimal feedback law minimizing an objective function including memories of states is proposed. It was not clear how to select the design parameters using the control law. In this paper, we describe a stabilized parameter domain of the proposed optimal regulator and apply the pair of parameters to the controller, which is adapted to a thixoforming system in which temperature is regulated. The control law is confirmed to have performed well from the numerical and experimental results.
In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual eva...
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Multi-process job schedule is a very difficult problem often faced by project managers. This study initially considers the problem of small-scale multi-process job schedule by using Stochastic Petri Nets (SPNs) techni...
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Multi-process job schedule is a very difficult problem often faced by project managers. This study initially considers the problem of small-scale multi-process job schedule by using Stochastic Petri Nets (SPNs) technique. The SPNs model of multi-process job schedule is come up with in the paper, and then the basic steps of search algorithm for job schedule are put forward successively. On the bases of these works, the multi-process job schedule algorithm is given, and the schedule strategies are discussed at same time. For getting the optimal solution of the small-scale multi-process job schedule, the algorithm based on the random search strategy is proposed and the analysis of result believing rate is also discussed. The example of how using the search algorithm to plan the job based on SPNs is given at the last of paper.
Fault masking is a widely used strategy for increasing the safety and reliability of computer control systems. The approach uses some form of voting to arbitrate between the results of hardware or software redundant m...
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