Dehua Zhang

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Over the past decade, a number of architecture description languages (ADLs) have been proposed to facilitate modeling and analysis of software architecture. While each claims to have various benefits, to date, there have been few studies to assess the relative merits of these approaches. In this paper, we describe our experience using two ADLs to model a(More)
In this paper, a novel neural-network-based iterative adaptive dynamic programming (ADP) algorithm is proposed. It aims at solving the optimal control problem of a class of nonlinear discrete-time systems with control constraints. By introducing a generalized nonquadratic functional, the iterative ADP algorithm through globalized dual heuristic programming(More)
In this paper, a new dual iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for a class of nonlinear systems with time-delays in state and control variables. The idea is to use the dynamic programming theory to solve the expressions of the optimal performance index function and control. Then, the dual(More)
Understanding aspect-oriented systems, without appropriate tool support, is a difficult and a recognized problem in the research community. Surprisingly, little has been done to help developers understand the impact of the static crosscutting constructs of AspectJ on base programs. Questions of interest to developers such as: which statements in a base(More)
Architectural modeling and analysis is a critical phase in developing large and complex software systems. The usefulness of multiple views has likewise long been recognized. In this experience report, we explain how we used two ADLs to model a system initially described in UML. The system (SCRover) is designed and built in close collaboration with NASA's(More)
One of the major challenges in aspect-oriented programming is that aspects may have unintended impacts on a base program. Thus, it is important to develop techniques and tools that can both summarize the impacts and provide information about the causes of the impacts. This thesis presents impact analyses for AspectJ. Our approach detects different ways(More)
Depth image-based rendering (DIBR), which is used to render virtual views with a color image and the corresponding depth map, is one of the key techniques in the 2D to 3D video conversion process. In this paper, a novel method is proposed to partially solve two puzzles of DIBR, i.e. visual image generation and hole filling. The method combines two different(More)