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With the ability of data mining and reasoning, Bayesian network could well solve the problems with uncertainties and incompletion, and the result of assessment is closer to the real condition. Therefore, the Bayesian network is to solve the problems in battle damage assessment. The paper firstly analyses the damage indexes and variables of UAV-to-ground attacking. Given conditional probability by...
We consider linear state-delayed discrete-time systems with stochastic uncertainties in their state-space model. The problem of H∞ static output-feedback control is solved, for the stationary case, via the input-output approach by which the system is replaced by a non-retarded system with deterministic norm-bounded uncertainties. Based on the BRL result of the above systems, solutions are obtained...
This paper is concerned with the non-fragile H∞ filtering for a class of discrete-time networked systems with multiple communication delays. We model such a complex delay system as a switched system. For the filtering implementation uncertainty, a stochastic variable is employed to describe the phenomenon of the randomly occurring filter gain change, and a norm bound is used to measure the change...
In this paper a new design method is proposed for sliding mode control of a class of nonlinear second-order systems with input saturation. The main idea is to combine the conventional terminal sliding mode manifold with a saturation function for construction of a new nonsingular terminal sliding mode manifold. By virtue of the bound of the uncertainty, the constructed terminal sliding mode manifold...
This paper presents the order evaluation method for the multi-input and multi-output (MIMO) multidimensional (n-D) systems realization obtained by the new elementary operation approach (NEOA) proposed by the co-authors recently. It turns out that the proposed order evaluation method can obtain the exact order of the realization produced by the NEOA procedures for a given n-D transfer matrix without...
Aiming at solving the subjectivity and uncertainty of service quality elements classification in Kano model and combining with fuzzy theory which is effective to cope with uncertainty and ambiguity, a Kano model based on fuzzy theory is proposed. This study will apply an approach of fuzzy questionnaires to modify Kano questionnaires which considered as subjective. Furthermore, this study will also...
This paper investigated the influence of suppliers' profits who manufacture the alternative commodities and the consumer utility, in the situations that the suppliers choose the common or the excusive shop to sell their commodities. By comparing suppliers' profits and consumer utility, the analysis suggested such a conclusion: in general, suppliers' profits and consumer utility in the exclusive shop...
We extend the expectation-based loss-averse newsvendor model according [1] by assuming that decision maker confronts deterministic demand and uncertain supply at the beginning of a selling season. We show with numerical study that the higher the penalty coefficient, the lower the optimal order quantity. Higher retail price and salvage value lead to optimally order more. However, when the wholesale...
In order to reduce the safety stock level, improve safety inventory control strategy, on the basis of the hypothesis that both the market demand and the mean value and variance of lead time meet normal distribution, the author proposes safety stock control model on the basis method of System Dynamics which consider the cost factor. Vensim for system simulation application to get safety stock level...
In real world applications the supply, the demand and the transportation cost per unit of the quantities in a transportation problem are hardly specified precisely because of the changing economic and environment conditions. In this paper an method has been proposed for the minimization of transportation cost when the supply, demand and transportation cost are interval numbers. For this case, an auxiliary...
The solutions to a large array of recent problems in reachability and feedback control are presented in terms of trajectory tubes. Such tubes are all the more required in models of set-membership filtering, output feedback and team control under uncertainty. The topic of this report is the theory of trajectory tubes with related computation approaches.
This paper considers the sliding mode control design problem for a nonlinear control system, and a new third-order sliding mode control approach is proposed. The advantage of the third-order sliding mode control lies in that the uncertainty of the nonlinear system can be bounded by a positive function rather than a constant. Then, the finite-time stability analysis is also proposed. Simulation results...
A learning control scheme is designed for first-order bilinear parametric systems with unknown periodically time-varying delays. It is assumed that the common periodicity of unknown time-varying parameter, time-varying delay, and reference signal are known. By reconstructing the system equation, the time-varying delay is combined into a periodically time-varying vector which is estimated by a periodic...
For an urban traveler using headway-based bus services, this paper concerns the itinerary planning problem with deadline under vehicular travel time and transfer waiting time uncertainties. An earliness ratio is proposed to practically specify the travel time budget, which is given by a traveler determined by his / her conservatism level. Both the risk and ambiguity of each uncertain arc travel times...
The paper focuses on the asymptotical stabilization of switched uncertain systems subject to actuator saturation. First, the actuator saturation part of the system is dealt with by a new proposed method. Then, based on the Multi-Lyapunov function method, a sufficient condition for system stability is got. The condition is expressed in the form of LMI, so easily solved. Further, the controller of the...
In order to effectively solve the uncertainty small-samples fault diagnosis problem, a practical data-driven grey-based fault detection and diagnosis (FDD) method for complex equipments is investigated. Firstly, an improved fuzzy-grey relational analysis (FGRA) technique is proposed by introducing dynamic identification coefficient and fuzzy relational weight. Compared with the traditional Deng's...
In this paper, the problem of semi-global finitetime stabilization by output feedback is investigated for a class of nonholonomic systems in chained form with uncertainties. By using the homogeneous domination approach, a constructive controller design procedure for output feedback control is given. Together with a novel switching control strategy, the designed controller renders that the states of...
In this paper, the dynamic output feedback stabilization for a class of switched delay systems with the existence of structural uncertainties under asynchronous switching is investigated. The delays appear not only in the state, but also in the switching signal for the control. When the switching signal of the switched controller involves delay, by constructing a novel Lyapunov functional, sufficient...
System fault detection and recovery deals with a decision problem under uncertainty in which we first attempt to isolate a fault according to information we collect regarding the system behavior, and after to recovery from the failure by the application of some recovery actions. In this paper we propose a method which makes use of Bayesian networks to reason under uncertainty and decision analysis...
In this paper, we investigate the parameterization of all robust stabilizing multi-period repetitive controllers for multiple-input/multiple-output time-delay plants. The multi-period repetitive control system is a type of servomechanism for a periodic reference input. When multi-period repetitive control design methods are applied to real systems, the influence of uncertainties in the plant must...
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