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Event-Triggered Prescribed Performance Control for a Class of Unknown Nonlinear Systems

Jin‐Xi Zhang, Guang‐Hong Yang

2020IEEE Transactions on Systems Man and Cybernetics Systems68 citationsDOI

Abstract

This article is concerned with the tracking control problem for a sort of networked system with unknown nonlinear functions, unmatched disturbances, and event-triggered input. A novel prescribed performance control strategy together with an actuator update protocol is developed to form a solution. Different from the existing results, only a binary signal (either 0 or 1) needs to be sent to the actuator. In this way, the number and the bit of data transmission are both curtailed, leading to the economy of the communication cost. On the other hand, output tracking with guaranteed transient and steady-state performance is achieved regardless of unknown nonlinearities, disturbances, and measurement errors. Finally, simulation results are given to illustrate the established theoretical findings.

Topics & Concepts

Control theory (sociology)sortNonlinear systemActuatorComputer scienceTransient (computer programming)Transmission (telecommunications)Control (management)Protocol (science)State (computer science)Event (particle physics)Class (philosophy)Tracking (education)SIGNAL (programming language)AlgorithmTelecommunicationsArtificial intelligenceAlternative medicinePsychologyOperating systemPedagogyPhysicsProgramming languageQuantum mechanicsInformation retrievalPathologyMedicineAdaptive Control of Nonlinear SystemsDistributed Control Multi-Agent SystemsStability and Control of Uncertain Systems
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