In the past decades, with rapid development of modern technologies, a special kind fault, intermittent fault (IF) has become serious threat to system securities. Although fruitful research results have been obtained for diagnosis, most them are concerned permanent faults. Furthermore, up now, there no overview on diagnosis techniques IFs in dynamic systems. fact, common variety fields, whereas their is far from mature and many open issues still remain be solved. Therefore, this overview, our...

This technical note is concerned with discussing the relationship between Nash equilibrium strategies and finite horizon H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /H xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control of time-varying stochastic systems subject to Markov jump parameters multiplicative noise. It revealed that equivalence these two problems depends on whether disturbance enters into diffusion term....

Article Fault-tolerant formation consensus control for time-varying multi-agent systems with stochastic communication protocol Chunyu Li, Yifan Liu, Ming Gao, and Li Sheng * 1 College of Control Science Engineering, China University Petroleum (East China), Qingdao 266580, Correspondence: E-mail: shengli@upc.edu.cn Received: 4 September 2023 Accepted: 8 November Published: 26 March 2024 Abstract: This paper is concerned the problem fault-tolerant linear (LTV) (MASs) (SCP). The SCP introduced...

This article is concerned with the problem of state estimation for continuous-time polynomial nonlinear (CTPN) systems unknown but bounded disturbances. The Taylor expansion technique employed to realize conversion from linear-parameter-varying related estimate. Moreover, purpose saving communication resources, an event-triggered sampling scheme first introduced in CTPN systems, where condition changed dynamically and Zeno behavior excluded. Based on matrix inequality approach, a sufficient...

In this article, the problem of intermittent fault (IF) detection is investigated for linear stochastic systems over sensor networks, where appearing and disappearing times, magnitude IF are all nondeterministic. By utilizing moving-horizon estimator, a novel residual generator designed to realize distributed IFs in networks. Different from traditional moving horizon estimation algorithms, weight matrices quadratic cost function article regulated by an unreliability index prior estimate...

In this article, the estimation problem of Toolface is investigated for dynamic point-the-bit rotary steerable system (DPRSS), and it essentially a nonlinear filtering under strong interference. First, DPRSS modeled by continuous-time system, which involves polynomial nonlinearities interference whose amplitude much larger than that states. By employing Carleman approximation approach, linear parameter varying derived from novel filter constructed. Subsequently, several sufficient conditions...

In this article, the problem of intermittent fault (IF) detection is investigated for stochastic linear time-varying (LTV) systems using dynamic event-triggered methods. Using nonuniform sampling approach, system transformed into a with varying periods. moving horizon estimation strategy, new IF filter designed to generate residual signals, which can be decoupled from transmission errors and errors. Moreover, an algorithm proposed such that appearance time disappearance IFs detected quickly...

This article is concerned with the estimation problem of Toolface for dynamic point-the-bit rotary steerable drilling tool systems. First, considering unknown frequency and amplitude vibration during process, system modeled as a time-varying stochastic noise covariance matrices. Under assumption that noises their matrices, respectively, obey Gaussian distribution inverse Wishart distribution, variational Bayesian-based moving horizon algorithm proposed. Then, state matrices are inferred by...

In this paper, the problem of accelerometer fault detection is studied for rotary steerable drilling tool system (RSDTS) which modeled by a nonlinear stochastic system. Owing to strong vibration in process, RSDTSs are inevitably influenced measurement noise, brings substantial difficulties detection. Firstly, modified particle filtering algorithm proposed improve accuracy state estimation. Next, means moving average method, residual approximatively obeys χ <sup...

This article is concerned with the problem of distributed fault-tolerant state estimation for sector-bounded nonlinear systems over sensor networks. The advantage algorithm that estimator can have given <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> performance in simultaneous presence faults and communication link failures. Based on fault-diagnosis technique, fault...

This technical note studies the nonlinear stochastic H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control of Itô-type differential systems with all state, input and external disturbance-dependent noise ( (x,u,v)-dependent for short). A sufficient condition is given finite/infinite horizon such a system by means an Hamilton-Jacobi inequality (HJI) instead three coupled equations (HJEs) as in previous literature.

Abstract When a consumer can appear on both sides of two‐sided market, such as user who buys and sells eBay, the platform may want to bundle services it provides two sides. I develop general model for “mixed” markets show that monopolist platform's incentive its optimal pricing strategy are determined by simple formulas using familiar price elasticities demand, which embody bundling effect, price‐cost margins adjusted network externalities, incorporate “two‐sidedness.” The rule in...

Satellite clock offset is an important factor affecting the accuracy of real-time precise point positioning (RT-PPP). Due to missing service (RTS) products provided by International GNSS Service (IGS) or network faults, users may not obtain effective corrections, resulting in unavailability RT-PPP. Considering this issue, improved back propagation (BP) neural optimized heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer (HPSO-BP) proposed for prediction. The...

Abstract In this paper, the problem of fault prognosis is investigated for linear stochastic systems with intermittent faults (IFs) and strong noise. Different from permanent faults, degradation state IFs are related to duration time, leading difficulties in first step prognosis, that is, health indicator (HI) extraction. Generally, HI extraction achieved by detection techniques. Therefore, proposed approach mainly covers following steps. First, model introduced IFs. Then, considering...