In the standard kernel partial least squares (KPLS), mapped data in feature space need to be centralized before extraction of new score vectors. However, each vector variables is often uniformly distributed, and some original features that can reflect contribution variable fault diagnosis might lost. As a result, it lead misleading interpretations principal components increasing false alarm rate for detection. To cope with these difficulties, novel data-driven framework using KPLS based on...

Environment-friendly aluminum electrolysis production process has long been a challenging industrial issue due to its built-in difficulty in optimizing numerous highly coupled and nonlinear parameters. This paper presents multi-objective bacterial foraging optimization (MOBFO) algorithm find optimal solutions that maximize the current efficiency minimize energy consumption of perfluorocarbons (PFCs). Our method can be viewed as an enhanced version (BFO) solving (MOO) problems (MOPs). We...

Fault diagnosis of an aluminum electrolysis cell has long been a challenging industrial issue due to its inherent difficulty in extracting meaningful features from numerous nonlinear and highly coupled parameters. To solve this problem, paper presents optimized relative transformation matrix (RTM) using bacterial foraging algorithm (BFA-ORTM). In particular, the operator is introduced change original variables spatial distribution eigenvalues covariance feature space. Then, optimization...

Abstract We examine the relation between information asymmetry and firm value around a merger acquisition (M&A). Owing to due diligence intense scrutiny M&A announcements, acquisitions are significant shocks target's asymmetry. find that announcement‐period wealth gains significantly related relationship is concentrated in same‐state or same‐industry mergers. Our difference‐in‐difference analysis shows effects become weaker when overall environment improves. Furthermore, we document...

Abstract In this paper, H − / ∞ multi‐objective fault detection observer design problem for linear discrete‐time systems is studied. Owing to the model inaccuracy in practical situations, system uncertainty considered as well structure of uncertainty. Sufficient conditions existence observers guarantee sensitivity and disturbance robustness infinite frequency domain are presented. A new iterative matrix inequality (LMI) algorithm proposed obtain solutions. order reduce conservativeness,...

Abstract This article proposes a fixed‐time backstepping distributed cooperative containment control scheme for multiple unmanned aerial vehicles (UAVs). A compensator is designed the fixed‐wing UAVs actuator saturation problem. Based on this, an improved disturbance observer proposed problem of excessive initial peak. The “complexity explosion” solved by differential filter. For UAVs, architecture based anti‐saturation compensation system proposed. algorithm can be shown practicable using...

Abstract Background Clinical practice guidelines have become increasingly widely used to guide quality improvement of clinical practice. Qualitative research may be a useful way improve the and implementation guidelines. The methodology for qualitative evidence in development is worthy further research. Methods A comprehensive search was made WHO, NICE, SIGN, NGC, RNAO, PubMed, Embase, Web Science, CNKI, Wanfang, CBM, VIP from January 1, 2011 February 25, 2020. Guidelines which met IOM...

An improved path planning algorithm based on dynamic window approach (DWA) is proposed to optimize real-time paths for agents moving in complex environments with plenty of static and/or obstacles, constraints, and performance constraints. In order improve the accuracy evaluation function adaptability different obstacle environments, weight ameliorated by designing adaptive laws this article. Meanwhile, aiming at defect local minima DWA algorithm, a low-speed steering strategy presented help...

This paper considers the consensus tracking synthesised with transient performance improvement problem for a network of unmanned aerial vehicles faults. In practical situations, parameter variations, modelling errors and disturbances are particular interest. Thus, it is assumed that dynamics subject to uncertainty. As main contribution this paper, set fault-estimator-based protocols proposed drive overall below given H ∞ index. Sufficient conditions designing which utilise relative output...

Delivery delay is an important performance metric in opportunistic networks. With given buffer size and copy numbers, how to select appropriate nodes replicate message the key minimizing delivery delay. To solve this problem, paper proposes Optimal Stopping Decision method for Routing of networks (OSDR). OSDR, average meeting time between a node destination regarded as forwarding utility node. A carrying observes random utilities it meets, replicates messages according optimal stopping rule,...

Summary In this paper, the three‐dimensional path following control problem for small‐scale fixed‐wing unmanned aerial vehicles (UAVs) subject to external wind disturbances is investigated. A fixed‐time disturbance observer designed estimate disturbance. The estimates are then incorporated into integral terminal sliding mode controller such that a composite scheme proposed. Under proposed scheme, UAV system not only guarantees convergence rate but also possesses stronger rejection ability...

This paper addresses the multi-objective fault detection observer design problems for a hypersonic vehicle. Owing to fact that parameters' variations, modelling errors and disturbances are inevitable in practical situations, system uncertainty is considered this study. By fully utilising orthogonal space information of output matrix, some new understandings proposed construction Lyapunov matrix. Sufficient conditions existence observers guarantee sensitivity disturbance robustness infinite...

DC distribution can reduce the converter link, improve power efficiency, while make renewable energy access convenient, and there is no need to consider stability of frequency, reactive other issues.As a micro-grid feed part, DC/DC converter's control method particularly important.A generator that suitable for connect storage load has been proposed, which inherits inertia characteristics rotation motor.This strategy will try eliminate effects load's output restore disturbed side voltage...

Opportunistic networks (OppNets) have emerged as prospective network architecture due to the popularization of mobile devices and little monetary cost. Routing is major concern in designing OppNets. The main obstacle for routing protocol design OppNets knowledge future link patterns, which leads blind unpredictable packet forwarding behavior. To achieve better delivery rate, retain deliver multiple copies a message, consumes more devices' energy causes lackluster service. this end, we aim at...

Space-based Earth observation is now developing rapidly because of the advantages in coverage, convenience, and flexibility. However, it difficult for one single satellite to realize quick wide areas. In order catch all significant information a area short time, multi-satellite mission would be proposed. this article, planning method online established serve future missions. Firstly, division proposed, whole divided into subareas. Then path realized by strategy deduction. After that,...

In this paper, the problem of structured controller synthesis with finite frequency specifications is considered. A state feedback under a structural constraint designed by two-stage method. The first stage to design centralized controller, and second explore from controller. observer-based output case coped in same framework. Iteration algorithms controllers are constructed respectively. Finally, effectiveness proposed methods illustrated via classical ACC benchmark cart-spring system.