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Active learning aims to reduce manual labeling efforts by proactively selecting the most informative unlabeled instances to query. In real-world scenarios, it's often more practical to query a batch of instances rather than a single one at each iteration. To achieve this we need to keep not only the informativeness of the instances but also their diversity. Many heuristic methods have been proposed...
This paper addresses the robust non-fragile leader-following consensus problem for multi-agent systems against state-dependent uncertainties and controller coefficient variations. Without the requirement of knowledge of uncertainties of agents and controllers, adaptive distributed controllers are constructed to guarantee the follower agents tracking the leader agent. Asymptotic consensus results of...
In this paper, we consider the design problem of a decentralized variable gain robust controller that provides practical tracking for a class of large-scale interconnected systems with mismatched uncertainties. Furthermore, we show that sufficient conditions for the existence of the proposed decentralized variable gain robust controller are reduced to the feasibility of linear matrix inequalities...
In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient...
We investigate the filter design problem for discretetime interval uncertain positive systems under the ℓ1 performance in this paper. First, we propose some conditions expressed by linear programming to ensure the asymptotic stability and the ℓ1 performance for given positive systems. Then, we establish a novel filter design approach and an iterative algorithm to obtain the desired filter for interval...
This work is devoted to the admissibility analysis for singular time-delay systems by using delta operator approach. By estimating the delay term with a two-term approximation, the singular system in delta operator domain is transformed into an interconnection of a time-invariant subsystem with constant delay and a uncertain one. By resorting to the input-output approach, a delay-range-dependent admissibility...
This article investigates the problem of fault detection for a class of uncertain systems by a new method. Based on the system's own uncertainty and external disturbances, a more effective fault detection method is designed by the method of homogeneous polynomial function. This detection method not only suppresses the effects of disturbances and uncertainties on the residual signal but also makes...
This paper gives an intuitionistic interpretation of maxitive belief structure. Central to this interpretation is that we can use maxitive belief structure to convey correct information for any intuitionistic statement which is a pair of values, (L(A), D(A)), providing information on the value of a variable lying in the set A. Then we can represent an intuitionistic statement by a maxitive belief...
To apply the smart wolf pack algorithm to solve the uncertain bilevel knapsack problem effectively, a binary smart wolf pack algorithm is designed. Firstly, the paper proposes an uncertain bilevel knapsack problem model by introducing uncertainty theory to the traditional bilevel knapsack problem model. Secondly, to solve the model of uncertain bilevel knapsack problem by the algorithm directly, we...
In the incomplete information system, no matter which dominance relation is being used to construct a rough set model the results would contain uncertainty. Considering three influence factors include the amount of information, the weight of attribute and the degree of different objects, a new grey dominance relation are defined in this paper. On this basis, a rough decision model is set up. The concept...
In this article, after introducing fuzzy-dual numbers, functions and functionals, the optimization of a fuzy-dual functional is considered through an extension of Euler's condition. Then, once uncertainty is imbedded in a fuzzy-dual dynamical system, the optimization of such systems is considered, leading to an extended Hamilton-Jacobi-Bellman equation to characterize optimal fuzzy-dual solutions.
In this article, the problem of sliding mode control (SMC) for uncertain discrete-time systems is investigated. The matched uncertainties in the state matrix are norm-bounded and can be estimated by the adaptive approach. Two situations are considered in this text: the state is measurable, and the state is unmeasurable. We chose an appropriate sliding surface such that the trajectories of states will...
In a recent paper [2], we introduced a framework for performing nanomechanical communication, where nanomechanical systems can communicate using mechanical movements to encode and transfer information between a transmitter (TX) and a receiver (RX). The framework considered in [2] was mainly focused on the deterministic model, which is the noise-free case. It was shown that the encoding of movements...
This paper investigates the distributed finite-time tracking consensus problem of Networked Euler-Lagrange (EL) Systems with uncertainties. Based on the homogeneous finite-time control algorithm, the discontinuous and continuous super-twisting protocols upon integral sliding mode algorithm are respectively developed to achieve finite-time tracking consensus of Networked EL Systems in spite of the...
This paper presents the design of double closed-loop security control structure. This structure is divided into two parts. First of all, sensor-controller-actuator loop completes the transmission of control signal output and measurement signal feedback. During the transmission process, the effects of uncertainties, perturbations, faults and attacks are coupled. Further, controller-detector loop is...
Despite many proposed solutions, multi-object tracking remains a challenging problem in complex situations involving partial occlusions and non-uniform and abrupt illumination changes. Considering modular systems, the tracking performance strongly depends on the consistency of the different blocks relatively to error features. In this work, using the Belief Function framework, we take into account...
Belief fusion consists of taking into account multiple sources of belief about a domain of interest. This paper describes cumulative and averaging multi-source belief fusion in the formalism of subjective logic, which represent generalisations of binary-source belief fusion operators previously described. The advantage of this approach is that we can model and analyse belief fusion situations involving...
Our work proposes that the understanding of the relationship between communication and power structures is fundamental in teaching, learning and improving communication skills and, conversely, learning and improving communication skills enables people to become more aware of how power is operating in a given environment. Using situated observation in the workplace, our study investigates how pieces...
Facing an unknown situation, a person may not be able to firmly elicit his/her preferences over different alternatives, so he/she tends to express uncertain preferences. Given a community of different persons expressing their preferences over certain alternatives under uncertainty, to get a collective representative opinion of the whole community, a preference fusion process is required. The aim of...
This paper is concerned with the adaptive stabilization problem of high-order stochastic nonlinear systems with time-varying delay. Indeed, there exist lots of deterministic results for the system without uncertainty and time delay. However, owing to the existence of time varying delay, unknown parameters and the relaxed nonlinear terms, it is not easy to choose an appropriate Lyapunov-Krasoviskii...
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