This paper proposes a new model for time-delay systems, which contains multiple successive delay components in the state and has important applications in remote control and network based control. New results on stabi...
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This paper proposes a new model for time-delay systems, which contains multiple successive delay components in the state and has important applications in remote control and network based control. New results on stability and H ∞ performance are obtained for systems with two successive delay components. The second part of this paper applies the proposed new model to network based control, which has emerged as a topic of significant interest in the control community. A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modelled as a time-delay system with two successive delay components in the state and, the problem of network based H ∞ control is solved accordingly.
This paper discusses a novel step by step path planning method which uses genetic algorithm (GA) to find the feasible and suitable paths in an environment with static and dynamic obstacles. To increase the speed of ca...
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This paper discusses a novel step by step path planning method which uses genetic algorithm (GA) to find the feasible and suitable paths in an environment with static and dynamic obstacles. To increase the speed of calculations, dimension of the search space is reduced by developing a new method to represent the environment. This representation method is based on detecting the corners of circumferential polygons of all obstacles as representatives of the environment. Each individual (or path) is a subsequence of these points including the start and destination points as the first and last genes in the sequence. Thus, each individual will be of a variable length. If an individual represents a path which passes over some obstacles, it will be unfeasible; otherwise it represents a feasible path. To produce new generations, four evolutionary operators are defined. The goal is to find a short feasible path, which clearly is not unique. In addition, using a step by step path planning approach and updating the representation of the environment at each step will result in a robust performance of the algorithm in two dimensional (2D) static and dynamic environments.
This paper describes the design of a nonlinear control law for an air-breathing hypersonic vehicle. The model of interest includes flexibility effects and intricate couplings between the engine dynamics and flight dyn...
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We propose a new inventory control technique for large-scale bidirectional (or closed-loop) supply chains including repairs. It is well-known that available optimization techniques are computationally intractable for ...
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We propose a new inventory control technique for large-scale bidirectional (or closed-loop) supply chains including repairs. It is well-known that available optimization techniques are computationally intractable for bidirectional stochastic supply chains and also necessitate several simplifying assumptions. In contrast, the proposed approach is an adaptive scheme which scales well to practically interesting large-scale multi-item supply chains. Furthermore, practical issues such as stochastic transport delays, manufacturing times, and repair times and probabilistic characterization of part repair success are handled in a unified framework. The control scheme is based on a hierarchical two-level architecture comprised of an adaptive set-point generator and a lower-level order-up-to policy. An application to aircraft supply chains involving multiple OEMs, depots, bases, squadrons, and planes is also investigated
This paper addresses the problem of stability for two-dimensional systems with delays in the state. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matr...
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This paper addresses the problem of stability for two-dimensional systems with delays in the state. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matrix inequalities and it is dependent on the size of delays. This fact allows us to reduce the conservatism in the stability analysis of two-dimensional systems with state delays. A simulation example is given to illustrate the theoretical developments
This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where ma...
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This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.
In this paper, a method of data pre-processing in grey information systems was proposed to deal with grey information. The binning technique was introduced to smooth noisy data used for grey relative analysis. It cons...
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In this paper, a method of data pre-processing in grey information systems was proposed to deal with grey information. The binning technique was introduced to smooth noisy data used for grey relative analysis. It constructed the function of grey relative coefficient for each null value and filled up the null value with the solution of the function. It also can be used to detect noisy data. This method is an application of grey system theory in data pre-processing. It has great significance in filling up null values and detecting noisy data in the "poor" information database
This paper analyses several extended rough set models in incomplete information systems and proposes a tolerance relation based model of processing grey incomplete information systems, which is an extension to rough s...
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This paper analyses several extended rough set models in incomplete information systems and proposes a tolerance relation based model of processing grey incomplete information systems, which is an extension to rough set models. The method of the model is: firstly partitioning the original incomplete information system by introduced threshold value, then establishing tolerance classes through grey tolerance relation and obtaining upper and lower approximations through these tolerance classes. Moreover, a method of whitening grey numbers based on grey tolerance relation is given. This paper shows that the model accords with practice according to examples and the algorithm of whitening grey numbers is also comparatively ideal. The more important point is that the subjective needs are considered during partitioning grey tolerance classes by introducing threshold value. So it is consistent with the system methodology of person-oriented person-to-machine communication
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