Abstract Reducing the system failure rate of logistics service supply chain (LSSC) is the basic guarantee and supporting conditions of LSSC system operational stability. The paper, regarding the automobile logistics service supply chain system composed by logistics service integrators, logistics service providers and car manufacturer as the research object, sets up the fault tree model of the a...

A class of fuzzy neural networks (FNNs) with time-varying delays and impulses is investigated.With removing some restrictions on the amplification functions, a new differential inequality is established, which improves previouse criteria. Applying this differential inequality, a series of new and useful criteria are obtained to ensure the existence of global robust attracting and invariant sets...

In networked control systems, the varying transmission time delay of the transmitting signal is unavoidable. If the varying transmission time delay exceeds the fixed sampling time, the system will be unstable. To solve this problem, in this paper, the logicbased fuzzy neural networks are applied to the prediction of transmission time delay. The predicted time delay is used as a sampling period ...

This paper considers the problem of robust stability analysis for uncertain Takagi–Sugeno (T–S) fuzzy systems with time-varying delays. By constructing an augmented Lyapunov–Krasovskii functional and utilizing Finsler’s Lemma, a novel criterion for delaydependent robust stability of T–S fuzzy model with time-varying delay is derived in terms of linear matrix inequalities (LMIs). Also, a further...

This paper considers the problem of the robot motion control in a presence of the major uncertainties such as the varying load. The proposed adaptive fuzzy system (FLS) is employed to estimate dynamic influence of the varying load and also the major part of the mechanism dynamics. Carefully designed membership functions and rules preserve the interpretability of FLS as each rule works toward es...

Engineering systems in industry are most often concerned with safety issues. Many of these systems are intended to work properly even in contexts where information is missing, incomplete or unreliable. This chapter introduces a safety model based on the concept of approximate reasoning for safety analysis. Parameters of the safety level, including failure rate, failure consequence severity and ...

Using intelligent techniques to perform radio resource management is an effective method. This paper proposes neural fuzzy control for radio resource management in hierarchical cellular systems supporting multimedia services. A neural fuzzy resource manager (NFRM) is designed, which mainly contains a neural fuzzy channel allocation processor (NFCAP), and NFCAP is in a two-layer architecture: a ...

The Gaussian arbitrarily varying channel with input constraint r and state constraint 2 admits input sequences x = ( x l , , x , ~ ) of real numbers with Cxf 5 nT and state sequences s = ( 5 ,. , T , ~ ) of real numbers with L Y ~ 5 H A ; the output sequence x + s + V , where V = ( VI, , y , ) is a sequence of independent and identically distributed Gaussian random variables with mean 0 and var...

In this paper, a system consisting of single multi-state element (MSE) with performance rates and transition intensities presented as fuzzy values is introduced. Due to the lack, inaccuracy or fluctuation of collected data, it is often too difficult to evaluate the performance rates and transition intensities of multi-state element/system with precise value, especially in the continuous degrada...

Fault tree analysis (FTA) is a widely used method for analyzing a system’s failure logic and calculating overall reliability. However, application of conventional FTA has some shortcomings, e.g. in handling the uncertainties, allowing the use of linguistic variables, and integrating human error in failure logic model. Hence, Fuzzy set theory has been proposed to overcome the limitation of conve...