Deals with Lyapunov equations for continuous-time Markov jump linear systems (MJLS). We focus on the case in which the Markov chain has a countably infinite state space. It is shown that the infinite MJLS is stochasti...
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(纸本)0780366387
Deals with Lyapunov equations for continuous-time Markov jump linear systems (MJLS). We focus on the case in which the Markov chain has a countably infinite state space. It is shown that the infinite MJLS is stochastically stabilizable (SS) if and only if the associated countably infinite coupled Lyapunov equations have a unique norm bounded strictly positive solution. This result does not hold for mean square stabilizability (MSS), since SS and MSS are no longer equivalent in our set up. To some extent, tools from operator theory in Banach space and, in particular, from semigroup theory are the technical underpinning of the paper.
In this paper, a novel neural network approach to real-time collision-free path planning of robot manipulators in a nonstationary environment is proposed, which is based on a biologically inspired neural network model...
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Dual-lifecycle software processes have the potential to significantly improve the way in which suites of software applications are generated and sustained. However, several outstanding issues need to be more adequatel...
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Dual-lifecycle software processes have the potential to significantly improve the way in which suites of software applications are generated and sustained. However, several outstanding issues need to be more adequately addressed before the full potential of this philosophy can be realized. Detailed strategies for maintaining domain architectures in parallel with suites of fielded applications are at present particularly conspicuous by their absence. In this paper, we present a dual-lifecycle maintenance process that was developed for the ROSE (Reusable Object Software engineering) project, a major reengineering and repository-building effort in the domain of flight design and dynamics. We present the major features of the process, the rationale behind these features, and changes which we feel would be beneficial based on lessons learned from the application of the process. The process is presented using a variant of the Fusion object-oriented design method known as Profusion.
Current economic conditions are forcing information system departments to focus simultaneously on decreasing costs while increasing software productivity. Improving software productivity is becoming critical because s...
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Current economic conditions are forcing information system departments to focus simultaneously on decreasing costs while increasing software productivity. Improving software productivity is becoming critical because software costs of large in-house software companies have been increasing rapidly. For many organizations, however, measuring software productivity has been a difficult task. Using Data Envelopment Analysis (DEA), this research study investigates the productivity of 78 commercial system projects. The results of this study have practical implications for software project managers undertaking software development. The results showed that the DEA technology can be successfully used to identify efficient and inefficient software projects. Furthermore, within the inefficient group, DEA can also identify factors that affect software productivity in a positive or negative manner, allowing managers to take corrective actions. Based on the findings of this study, the manuscript also provides some practical guidelines for managers to follow in software development.
This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the comb...
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This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.
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