In this article, distributed finite-time tracking control for nonlinear multi-agent systems subject to external disturbances is investigated. With the aid of sliding-mode technique, both consensus in presence a single leader and containment with multiple leaders are detail analysed. A distinctive feature work that communication topology among followers can be directed. It shown states track when there exists leader, converge convex hull spanned by those exist leaders, finite time. Moreover,...

The main focus of this paper is on the analysis and integrated design $\mathcal {L}_2$ observer-based fault detection (FD) systems for discrete-time nonlinear industrial processes. To gain a deeper insight into FD framework, existence condition introduced first. Then, an approach realized by solving proposed with aid Takagi-Sugeno fuzzy dynamic modeling technique piecewise-fuzzy Lyapunov functions. Most importantly, weighted residual generator proposed, aiming at achieving optimal...

This paper deals with a real-time-weighted observer-based fault-detection (FD) scheme for Takagi-Sugeno (T-S) fuzzy systems. The essential idea is to develop weighted diagnostic FD system optimize the worst case robustness and fault sensitivity simultaneously by using information provided each local system. To achieve an early detection of potential fault, issue investigated in L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> /L...

This paper is concerned with a real-time observer-based fault detection (FD) approach for general type of nonlinear systems in the presence external disturbances. To this end, first part paper, we deal definition and design condition an L ∞ / 2 FD systems. analytical framework fundamental development aid some well-established techniques. In second part, address integrated by applying Takagi-Sugeno (T-S) fuzzy dynamic modeling technique as solution tool. developed via piecewise Lyapunov...

Abstract Introduction Rheumatoid arthritis (RA) is a chronic inflammatory illness that mostly affects the joints of hands and feet can reduce life expectancy by an average 3 to 10 years. Although tremendous progress has been achieved in treatment RA, large minority patients continue respond poorly existing medications, owing part lack appropriate therapeutic targets. Methods To find targets for Mendelian randomization (MR) was performed. Cis-expression quantitative trait loci (cis-eQTL,...

This paper is concerned with the analysis and integrated design of a type observer-based fault detection (FD) system for general nonlinear processes. To this end, existence condition FD systems first introduced. In context, scheme investigated by dealing aid Takagi-Sugeno (T-S) fuzzy dynamic modeling technique. be specific, universal T-S residual generator developed via Lyapunov functions. Subsequently, an proposed embedded threshold, which generated to meet real-time requirements from...

The problem of disturbance rejection and control allocation with an uncertain effectiveness matrix is investigated in this paper for a flight system. AnH2=H1 feedback controller designed to produce the three axismoments simultaneously suppress noise. A feedforward used track reference signals.Under condition uncertainty included effectivenessmatrix, robust least-squares scheme employed deal distributing axis moments corresponding surfaces. proposed studied both unstructured structured...

This note addresses parameterization issues of nonlinear observer-based fault detection (FD) systems which are composed a residual generator, evaluator and threshold. Our study consists two steps. In the first step, with aid factorization input-output operator techniques, we prove that any stable generator can be parameterized by cascade connection process kernel representation post-filter represents parameter system. second based on state-space generators, investigate so-called L <sub...

This article discusses the problem of sliding-mode observer (SMO)-based fault reconstruction for T-S fuzzy descriptor systems by using RBF neural network. First, a learning SMO, without observability condition fast subsystem, is developed such that and states achieved, simultaneously. Then, sufficient linear matrix inequality (LMI) presented to guarantee admissibility sliding motion. Meanwhile, LMI ensures boundedness state estimation errors. By utilizing robust H <sub...

This article addresses the performance-based fault detection (FD) and fault-tolerant control (FTC) issues for nonlinear systems. For this purpose, in first part of article, FD FTC scheme is investigated with aid factorization technique. To be specific, controller parameterization systems discussed. The so-called margin introduced as an indicator system ability. Then, aiming at estimating detecting stability performance degradation closed-loop caused by faults developed. Furthermore, to...

Machine learning-based methods are widely adopted in the state-of-charge estimation of lithium-ion batteries due to easy application. However, they will sometimes cause a phenomenon abrupt errors since perform data mapping without considering physical mechanism. Here, physics-constrained neural network (NN) is proposed, which simultaneously minimizes loss and also constraints loss. Experimental results show that problem significantly reduced proposed scheme compared with NN. Further analysis...

We aimed to explore the association between plant-based dietary (PBD) patterns and obesity trajectories in middle-aged elderly, as well linked cardiovascular disease (CVD) risk. A total of 7108 elderly UK Biobank participants with at least three physical measurements were included. Dietary information collected enrolment was used calculate healthful diet index (hPDI). Group-based trajectory modeling identified two for each adiposity measure: BMI Low-Smooth High-Growth-Decline; FMI WHR...

Abstract The Poisson–Boltzmann equation, which incorporates the source of Dirac distribution, has been widely applied in predicting electrostatic potential biomolecular systems solution. In this paper we discuss and analyse virtual element method for equation on general polyhedral meshes. Nearly optimal error estimates, approaching best possible accuracy, are achieved approximation both L 2 -norm H 1 -norm, even when solution entire domain low regularity. efficiency validity proposed...

SUMMARY This paper investigates the distributed finite‐time consensus‐tracking problem for coupled harmonic oscillators. The objective is to guarantee a team of followers modeled by oscillators track dynamic virtual leader in finite time. Only subset can access information leader, and interactions between are assumed be local. We consider two cases: (i) obtain relative states their neighbors own; (ii) outputs neighboring agents available. In former case, consensus protocol adopted achieve...

In order to improve the performance of canonical correlation analysis (CCA) based methods for process monitoring, this brief proposes a novel monitoring approach using structured joint sparse (SJSCCA). Technically, graph Laplacian could incorporate variable information and sparsity discard useless variables. The developed two-stage alternating direction method multipliers is shown be very efficient because each derived subproblem has closed-form solution or can solved by fast solvers. detect...

In this paper, regarding the observer form of well-known Youla parameterization, controller design and optimization are exhibited with an integrated residual access. To better reveal philosophy, feedback control loop is interpreted on basis observer-based generator. The next main attention drawn to generation residuals, a deadbeat for system stabilization both in data-driven environment, later optimal adaptive realization dynamic that translates residuals into compensatory inputs meet...