Coded Event-triggered Control for Nonlinear Systems
Ruihang Ji, Shuzhi Sam Ge, and Kai Zhao

TL;DR
This paper introduces a coded event-triggered control scheme for nonlinear systems that reduces communication load and ensures tracking error bounds are met from any initial condition using a self-adjustable prescribed performance mechanism.
Contribution
It proposes a novel CEC design with minimal communication and a self-adjustable prescribed performance approach for nonlinear systems under arbitrary initial conditions.
Findings
Reduced communication resource usage demonstrated in simulations
Effective regulation of tracking error within specified bounds
Flexible adjustment of performance boundaries for different initial conditions
Abstract
This paper studies a Coded Event-triggered Control (CEC) for a class of nonlinear systems under any initial condition. To reduce communication burden, the CEC is designed from the encoding-decoding viewpoint by which only -length string is transmitted for each communication between CEC and actuator. If a more general Entry Capture Problem is encountered, such control design will be rather complicated yet challenging where the performance constraints are satisfied some time after (rather than from the beginning of) system operation, rendering normally employed prescribed performance control invalid because they may be not defined in the initial interval. By introducing auxiliary functions, we develop a Self-adjustable Prescribed Performance (SPP) mechanism which can flexibly adjust the symmetric or asymmetric performance boundaries to accommodate different initial conditions,…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Extremum Seeking Control Systems · Fault Detection and Control Systems
MethodsSparse Evolutionary Training
