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第26届中国控制与决策会议

作者： Tengfei Liu zhong-ping jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Polytechnic School of Engineering New York University

This paper studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, we develop a novel recursive design method for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic uncertainty is input-to-state stable, asymptotic stabilization can be achieved with the proposed quantized control law.

关键词： Quantized control nonlinear systems dynamic uncertainties asymptotic stabilization.

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Special issue on learning and control in cooperative multi-agent systems

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Control Theory and Technology 2015年第1期13卷 44-44页

作者： Frank L. Lewis zhong-ping jiang Tengfei Liu The University of Texas at Arlington Texas U.S.A. New York University NY U.S.A. Northeastern University Shenyang China

Cooperative control of multi-agent systems linked by communication networks is a well-developed and still growing field. The interplay of the individual agent dynamics and the communication graph topology results in intriguing and often surprising behaviors that are not manifested in the study of control systems for single-agent dynamics. This field brings systems theory, feedback control, graph theory, communication systems, complex systems theory to provide rigorous analysis and design for multiple dynamical systems interconnected by a graph information flow structure. Applications have been made to vehicle formation control, coordinated multi-satellite control, electric power system control, robotics, autonomous airborne systems, manufacturing production lines, and the synchronization of dynamical processes in chemistry, physics, biology, and chaotic systems.

关键词： Special issue on learning and control in cooperative multi-agent systems

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Output Agreement of a Class of Nonlinear Multi-Agent Systems with Switching Topologies

Output Agreement of a Class of Nonlinear Multi-Agent Systems...

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第37届中国控制会议

作者： Zhengyan Qin Tengfei Liu zhong-ping jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Tandon School of Engineering New York University

In this paper, output agreement problem of a class of nonlinear multi-agent systems with switching topologies is studied. By employing a new type of dynamic control law to the controlled agents, the switching and directed information flow topology is handled and by a state transformation the distributed control problem is successfully converted into network control problem with each subsystem has input-to-output stability(IOS) and unboundedness observability(UO) properties. Then, the cyclic-small-gain theorem is applied to conclude the conclusion that the output agreement objective is achieved.

关键词： Distributed control nonlinear systems output agreement cyclic-small-gain method switching topologies

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Robust State Agreement of Nonlinear Multi-agent Systems Subject to Measurement Disturbances

Robust State Agreement of Nonlinear Multi-agent Systems Subj...

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第37届中国控制会议

作者： Zhanxiu Wang Tengfei Liu zhong-ping jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Tandon School of Engineering New York University

This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.

关键词： Multi-agent systems Robust state agreement Measurement disturbances Switching topology

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New Results in Stabilization of Uncertain Nonholonomic Systems: A Self-Triggered Control Approach

New Results in Stabilization of Uncertain Nonholonomic Syste...

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第40届中国控制会议

作者： Pengpeng Zhang Tengfei Liu zhong-ping jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Department of Electrical and Computer Engineering New York University

The self-triggered event-based control of uncertain nonholonomic systems in the chained form is studied for the first time in this paper. In order to tackle the effects of drift uncertain nonlinearities, nonholonomic constraints and nonsmooth aperiodic sampling in event-based control, a novel systematic design scheme is proposed by integrating set-valued maps with state-separation and state-scaling techniques. The stability analysis of the closed-loop self-triggered control system is based on the cyclic-small-gain theorem that overcomes the limitation of Lyapunov theory in the construction of Lyapunov functions for nonsmooth dynamical systems. More specifically, the closed-loop self-triggered control system is transformed into an interconnection of multiple input-to-state stable systems, to which the cyclic-small-gain theorem is applied for robust stability analysis. Interestingly, the proposed design approach is also applicable to a broader class of nonholonomic systems subject to state and input-dependent uncertainties, and the result is still new even if the plant is reduced to the ideal unperturbed chained form. The main result is validated by a benchmark example of mobile robots subject to parametric uncertainties and a measurement noise such as bias in orientation.

关键词： Nonholonomic systems self-triggered control robust stabilization

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Distributed Formation Control of Multi-Agent via Abstraction

Distributed Formation Control of Multi-Agent via Abstraction

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第40届中国控制会议

作者： Huanhuan Li Tengfei Liu zhong-ping jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Department of Electrical and Computer Engineering New York University

This paper presents a new distributed formation control method based on abstraction for nonlinear uncertain *** on a modified concept of approximate abstraction, each agent is first abstracted as a first-order integrator by designing an interface system. Then, the distributed formation controller is designed for first-order integrators and proved to be *** result illustrates the effectiveness of the proposed design.

关键词： Distributed control formation control hierarchical control approximate abstraction small-gain approach

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Bridging the Gap Between Reinforcement Learning and Nonlinear Output-Feedback Control

Bridging the Gap Between Reinforcement Learning and Nonlinea...

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第43届中国控制会议

作者： Weinan Gao zhong-ping jiang Tianyou Chai State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Tandon School of Engineering New York University

The primary objective of this paper is to bridge the gap between reinforcement learning(RL) and nonlinear output-feedback control by developing a novel solution to direct adaptive optimal control with guaranteed closed-loop *** specifically, for a broad class of nonlinear affine discretetime systems with limited output measurements, we integrate RL and advanced nonlinear control methods to devise highfidelity direct adaptive optimal controllers from data. Under the condition of uniform observability, our original learning-based control solution begins with the reconstruction of the system state from the retrospective input and output data, akin to a deadbeat observer. Subsequently, we propose value iteration algorithms to facilitate the learning of optimal output-feedback control policies and value functions leveraging measured input and output *** ensure feasibility and reliability in practice, we provide rigorous convergence proofs for the proposed learning algorithms along with the stability analysis for the closed-loop *** results are presented to showcase the effectiveness of the developed methodologies, demonstrating their capability to handle the output-feedback adaptive optimal control problems of general nonlinear affine systems.

关键词： Adaptive optimal control output-feedback nonlinear systems reinforcement learning

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Value-iteration-based Adaptive Optimal Reagents Control for Antimony Flotation Process

Value-iteration-based Adaptive Optimal Reagents Control for ...

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第三十九届中国控制会议

作者： zhongmei Li Mengzhe Huang Weihua Gui zhong-ping jiang School of Information Science and Engineering East China University of Science and Technology Tandon School of Engineering New York University School of Automation Central South University

This paper investigates a data-driven adaptive optimal control approach for antimony flotation process in presence of input time-delay and disturbance. The integration frame of adaptive dynamic programming（ADP） and value iteration（VI）is applied to the optimal controller design without requirement of system dynamics. Fundamentally different from the existing reagents control methods, the input time-delay and disturbance are simultaneously considered in the VI-based ADP control scheme. Specifically, the disturbance is compensated directly by adding an inner model as the feedforward component to the control action and the optimal feedback gain is computed by iteratively solving Riccati equation. By exploiting industrial collected data, the numerical simulation proves that the proposed data-driven methodology can enable the concentrate and tailing grade to keep tracking the target trajectories with a minimum reagents consumption.

关键词： Flotation process Input time-delay Disturbance rejection Optimal control

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Data-based Formation Control for Underactuated Quadrotor Team via Reinforcement Learning

Data-based Formation Control for Underactuated Quadrotor Tea...

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第三十九届中国控制会议

作者： Hao Liu Wanbing Zhao Frank L.Lewis zhong-ping jiang Hamidreza Modares School of Astronautics Beihang University Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies of Ministry of Education Beihang University the University of Texas at Arlington Research Institute University of Texas at Arlington the Control and Networks Lab Department of Electrical and Computer EngineeringTandon School of EngineeringNew York University the University of Texas at Arlington Research Institute

In this paper, the formation problem of unknown multi-quadrotor systems with underactuation and nonlinearities is addressed. A formation controller including a position controller and an attitude controller is designed. The designed formation controller is based on hierarchical scheme and reinforcement learning method is used to learn the control weights of the formation controller. A simulation of formation of multiple quadrotor systems shows the effectiveness of the proposed controller.

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Acute and chronic excitotoxicity in ischemic stroke and late-onset Alzheimer's disease

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Neural Regeneration Research 2025年第7期20卷 1981-1988页

作者： Shan ping Yu Emily Choi Michael Qjiang Ling Wei Department of Anesthesiology Emory University School of MedicineAtlantaGAUSA Center for Visual and Neurocognitive Rehabilitation Atlanta Veterans Affairs Medical CenterDecaturGAUSA

Stroke and Alzheimer's disease are common neurological disorders and often occur in the same *** comorbidity of the two neurological disorders represents a grave health threat to older *** review presents a brief background of the development of novel concepts and their clinical *** activity of glutamatergic N-methyl-D-aspartate receptors and N-methyl-D-aspartate receptor-mediated Ca^(2+)influx is critical for neuronal *** ischemic insult induces prompt and excessive glutamate release and drastic increases of intracellular Ca^(2+)mainly via N-methyl-D-aspartate receptors,particularly of those at the extrasynaptic *** Ca^(2+)-evoked neuronal cell death in the ischemic core is dominated by necrosis within a few hours and days known as acute ***,mild but sustained Ca^(2+)increases under neurodegenerative conditions such as in the distant penumbra of the ischemic brain and early stages of Alzheimer's disease are not immediately toxic,but gradually set off deteriorating Ca^(2+)-dependent signals and neuronal cell loss mostly because of activation of programmed cell death *** on the Ca^(2+)hypothesis of Alzheimer's disease and recent advances,this Ca^(2+)-activated“silent”degenerative excitotoxicity evolves from years to decades and is recognized as a unique slow and chronic *** N-methyl-D-aspartate receptor subunit GluN3A,primarily at the extrasynaptic site,serves as a gatekeeper for the N-methyl-D-aspartate receptor activity and is neuroprotective against both acute and chronic *** stroke and Alzheimer's disease,therefore,share an N-methyl-D-aspartate receptor-and Ca^(2+)-mediated mechanism,although with much different time *** is thus proposed that early interventions to control Ca^(2+)homeostasis at the preclinical stage are pivotal for individuals who are susceptible to sporadic late-onset Alzheimer's disease and Alzheimer's disease-related

关键词： Ca^(2+)hypothesis cognitive deficits hyperactivity late-onset Alzheimer's disease neurodegeneration N-methyl-D-aspartate receptors N-methyl-D-aspartate receptor subunits pathogenesis preventive treatment

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