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In this paper, we design adaptive observers for nonlinear systems in adaptive observer forms. These observers achieve not only asymptotical but also finite-time convergence in the observation of the state variables as well as the adaptation of the unknown parameters, under the normal persistence excitation condition. Proofs of the convergence are given by the local finite-time stability and by introducing...
Scaling down the supply voltage for embedded SoC becomes a necessary technique to lower power requirements in mobile devices. However, caches become susceptible or even fail in low voltages, and distribution of access latencies is significantly increased in new technology nodes. Past researches suggested several solutions to deal with the memory reliability at low voltages, where a timing table records...
Overbooking is not only an important content of revenue management, but also an effective way to increase airlines' profits. Arrival rate of ticketed passengers is a key factor to determine the number of overbooking, but its information is often limited. Based on the limited distribution information of arrival rate, this paper establishes a single-fare-class overbooking model, and obtains a robust...
In this study, flocking motion control algorithm of multi-agent network with dynamical topology is studied using fuzzy logic. Cooperative control algorithm is proposed for a group of autonomous agents to achieve flocking formations following a virtual agent. The control law consists of three terms. The first term is a gradient-based one designed using fuzzy logic; The second and third ones are for...
In this study, a novel procedure is presented for control and analysis of multiple autonomous agents with point mass dynamics achieving flocking motion using fuzzy logic. Two cooperative control laws are proposed for a group of autonomous agents to achieve flocking formations related to two different centers (mass center and geometric center) of the flock. The first one is designed for flocking motion...
This paper is devoted to the study of multi-agent consensus with a time-varying reference state in directed networks with both switching topology and time-varying delay. Stability analysis is performed based on a proposed Lyapunov-Krasovskii function. Sufficient conditions based on linear matrix inequalities (LMIs) are given to guarantee multi-agent consensus on a time-vary reference state under arbitrary...
This paper is devoted to the study of multi-agent consensus with a time-varying reference state in directed networks with both switching topology and constant time delay. Stability analysis is performed based on a proposed Lyapunov-Krasovskii function. Sufficient conditions based on linear matrix inequalities (LMIs) are given to guarantee multi-agent consensus on a time-vary reference state under...
In this study, a novel procedure is presented for control and analysis of multiple autonomous agents with point mass dynamics achieving flocking motion. Two control laws are proposed for a group of autonomous agents to achieve flocking formations related to two different centers (mass center and geometric center) of the flock. The first one is designed for flocking motion based on mass center and...
A FLS-based adaptive control approach with stability analysis is proposed to control a class of chaotic system with unknown nonlinear function to track a reference trajectory. Fuzzy logic system (FLS) is introduced to parameterize the unknown nonlinear function; an n-dimension supervisory controller attached to the adaptive controller is developed to guarantee the boundedness of the output signal...
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