This study concentrates on the fixed-time tracking consensus and containment control of second-order heterogeneous nonlinear multiagent systems (MASs) with and without measurable velocity under directed topology. By d...
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This study concentrates on the fixed-time tracking consensus and containment control of second-order heterogeneous nonlinear multiagent systems (MASs) with and without measurable velocity under directed topology. By defining a time-varying scaling function and approximating the unknown nonlinear dynamics with radial basis function neural networks (RBFNNs), a novel distributed protocol for solving the fixed-time tracking consensus and containment control problems of second-order heterogeneous nonlinear MASs with full states available is proposed based on a nonsingular sliding-mode control method constructed by designing a prescribed-time convergent sliding surface. For the scenario of immeasurable velocity, a fixed-time convergent states' observer is designed to reveal the velocity information when the unknown linearity is bounded. Subsequently, a distributed fixed-time consensus protocol based on observed velocity information is proposed for the extended results. Ultimately, the acquired results are verified by three simulation examples.
This paper proposes a cascaded generalized extended state observer-based control (CGESOBC) implementation scheme for a class of nonlinear servo systems with nonintegral-chain form and multiple matched and mismatched d...
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ISBN:
(纸本)9798350321050
This paper proposes a cascaded generalized extended state observer-based control (CGESOBC) implementation scheme for a class of nonlinear servo systems with nonintegral-chain form and multiple matched and mismatched disturbances. In this approach, the total disturbances in each channel are reconstructed by designing a GESO. A reference model is developed with the estimated disturbances and the reference input, together with a state tracking error model containing the multiple residual disturbances. Another GESO is then devised to estimate the primary estimation errors, based on which a state feedback control law incorporating a dynamic compensator is formulated for robust stabilization of the state tracking error system. Moreover, the Lyapunov stability theory is applied to prove the bounded stability of the closed-loop system. Finally, the efficacy of the proposed control method is verified by a numerical example.
Due to its high degree of customization, DNA origami provides a versatile platform with which to engineer nanoscale structures and devices. Reconfigurable nanodevices driven by DNA strand displacement accomplish the t...
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This study addresses the controllability of second-order signed multi-agent networks based on matrix weights. Some controllability conditions of signed second-order multi-agent networks under matrix-weighted topology ...
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This study addresses the controllability of second-order signed multi-agent networks based on matrix weights. Some controllability conditions of signed second-order multi-agent networks under matrix-weighted topology for the heterogeneous networks and homogenous networks are built, respectively. In addition, the second-order controllability of signed networks with matrix-weights under structurally balanced conditions is considered with selecting appropriate leaders. Finally, simulations and examples are provided to demonstrate the theoretical results.
Vehicle and crew scheduling is vital in public transit planning. Conventionally, the issues are handled sequentially as the vehicle scheduling problem (VSP) and crew scheduling problem (CSP). However, integrating thes...
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Vehicle and crew scheduling is vital in public transit planning. Conventionally, the issues are handled sequentially as the vehicle scheduling problem (VSP) and crew scheduling problem (CSP). However, integrating these planning steps offers additional flexibility, resulting in improved efficiency compared with sequential planning. Given the ever-growing market share of electric buses, this paper introduces a new model for integrated electric VSP and CSP, called EVCSPM. This model employs the minimum cost flow formulations for electric VSP, set partitioning for CSP, and linking constraints. Due to the nonlinear integer property of EVCSPM, we propose a method that hybrids a matching-based heuristic and integer linear programming solver, GUROBI. The numerical results demonstrate the efficiency of our methodology, and the integrated model outperforms the sequential model in real-life scenarios.
This paper investigates fixed-time stabilization of linear two-time-scale systems. The existing fixed-time control techniques are no longer applicable due to the inherent ill-conditioned numerical issues, which is ind...
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This paper investigates fixed-time stabilization of linear two-time-scale systems. The existing fixed-time control techniques are no longer applicable due to the inherent ill-conditioned numerical issues, which is induced by the time-scale separation of two-time-scale systems when carrying out stability analysis. Alternative challenge is that the considered systems are not fully actuated, such that some full rank conditions regarded to the control matrix do not hold anymore. All of these pose difficulties to the fixed-time controller design and stability analysis. To handle these issues, appropriate state transformations are proposed to decouple the system into slow and fast subsystems with approximate strict feedback structure. Then, by the backstepping method, a continuous-time controller is designed to achieve fixed-time stabilization. Furthermore, a Zeno-free event-triggered strategy is proposed to reduce the control updates and then a practical stability result of two-time-scale systems is obtained. A numerical simulation is presented to illustrate the effectiveness of the results.
Ship speed optimization can reduce fuel consumption and protect the environment. The existing offline speed optimization model cannot ensure the optimal ship speed due to the changing weather and sea condition during ...
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Ship speed optimization can reduce fuel consumption and protect the environment. The existing offline speed optimization model cannot ensure the optimal ship speed due to the changing weather and sea condition during the voyage. We propose an online speed optimization model which consists of an offline speed optimization model and a fuel consumption prediction model. The online speed optimization model is to plan the average speed for each segment of the entire voyage. The fuel consumption prediction model is used to continuously monitor the fuel consumption during the voyage. For fuel consumption prediction, we propose a bidirectional long short-term memory (BiLSTM) based encoder-decoder with temporal attention mechanism. By the comparative experiments with three baseline models, the accuracy of the proposed prediction model is verified.(c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.
Surrounding formation control has potential applications in a wide range of fields, such as cooperative escorting, hunting, patrolling, deployment, rescue, delivery, and reconnaissance. In this article, an event-trigg...
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Surrounding formation control has potential applications in a wide range of fields, such as cooperative escorting, hunting, patrolling, deployment, rescue, delivery, and reconnaissance. In this article, an event-triggered control algorithm is developed to tackle the multiple dynamic targets surrounding formation control problem. Essentially, the proposed scheme could achieve diverse surrounding patterns with both monolayer and multilayer configurations which have distinct benefits to various application scenarios. Furthermore, the communication cost can be decreased and the Zeno behavior is theoretically guaranteed to be excluded as well. Finally, numerical simulations are conducted to substantiate the effectiveness of the proposed event-triggered surrounding formation control algorithm.
The paper investigates the event-triggered sub-optimal control problem for two-time-scale systems with unknown slow dynamics. Specifically, a composite event-triggered optimal controller design is proposed for the dec...
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The paper investigates the event-triggered sub-optimal control problem for two-time-scale systems with unknown slow dynamics. Specifically, a composite event-triggered optimal controller design is proposed for the decoupled slow and fast subsystems with different triggering conditions. To handle the unknown dynamics, the actor and critic networks are utilized to approximate the optimal controller employing tuning laws applied to the weights. The results indicate that a system employing the proposed event-triggered mechanism can achieve asymptotic stability and afford a sub-optimal controller. Furthermore, Zeno behavior is excluded with rigorous proof, and several simulation examples and comparative studies demonstrate the method's effectiveness.
The electrical-gas coupled power flow problem is one of the most basic problems under Energy Internet. In order to achieve a more complete analysis of the electric-gas coupled power flow, this paper establishes a nove...
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