In this survey, we focused on recent advances on robust control for time delay systems and an application of delay. Finite spectrum assignment approach, Bezout factorization approach and Ha5 control to robust control were presented. A deadbeat control of continuoustime systems is shown as an interesting positive usage of time-delay.

SUMMARYEstimating a proper location of vanishing point from a single road image without any prior known camera parameters is a challenging problem due to limited information from the input image. Most edge-based methods for vanishing point detection only work well for structured roads with clear painted lines or distinct boundaries, while they usually fail in unstructured roads lacking sharply defined, smoothly curving edges. In order to overcome this limitation, texture-based methods for vanishing point detection have been widely published. Authors of these methods often calculate the texture orientation at every pixel of the road image by using directional filter banks such as Gabor wavelet filter, and seek the vanishing point by a voting scheme. A local adaptive soft voting method for obtaining the vanishing point was proposed in a previous study. Although this method is more effective and faster than prior texture-based methods, the associated computational cost is still high due to a large number of scanning pixels. On the other hand, this method leads to an estimation error in some images, in which the radius of the proposed half-disk voting region is not large enough. The goal of this paper is to reduce the computational cost and improve the performance of the algorithm. Therefore, we propose a novel local soft voting method, in which the number of scanning pixels is much reduced, and a new vanishing point candidate region is introduced to improve the estimation accuracy. The proposed method has been implemented and tested on 1000 road images which contain large variations in color, texture, lighting condition and surrounding environment. The experimental results demonstrate that this new voting method is both efficient and effective in detecting the vanishing point from a single road image and requires much less computational cost when compared to the previous voting method.

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This paper is concerned with the mixed H 2 /H ∞ control problem. The purpose of this paper is to give an iterative algorithm for finding a sub-optimal static state feedback controller for the mixed H 2 /H ∞ control problem. The key idea of our algorithm is to construct two "controller sets": one is a set of controllers that improve the H 2 norm of the closed loop map for a given controller and the other is a set of controllers whose elements satisfy the H ∞ norm constraint. Using two controller sets, we propose an iterative algorithm. The obtained controller is either the global optimal solution if the H ∞ norm constraint is satisfied until the H 2 norm of the objective closed loop map converges to the H 2 optimal value or a sub-optimal solution on the boundary of the H ∞ norm constraint.

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