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Related Experiment Videos

Networked Predictive Control for Nonlinear Systems With Arbitrary Region Quantizers.

Hongjiu Yang, Yang Xu, Yuanqing Xia

    IEEE Transactions on Cybernetics
    |April 15, 2017
    PubMed
    Summary
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    This study introduces networked predictive control for nonlinear systems using an extended state observer (ESO) to manage delays and nonlinearities. The proposed method ensures system stabilization despite signal quantization in networked control systems.

    Area of Science:

    • Control Engineering
    • Systems Theory
    • Nonlinear Dynamics

    Background:

    • Networked control systems (NCS) face challenges from network-induced delays and signal quantization.
    • Planar nonlinear systems require advanced control strategies to ensure stability and performance.
    • Extended state observers (ESO) are effective tools for estimating and compensating system states and nonlinearities.

    Purpose of the Study:

    • To develop a networked predictive control strategy for planar nonlinear systems.
    • To address the impact of signal quantization on system stability.
    • To utilize an extended state observer (ESO) for handling nonlinear terms and network delays.

    Main Methods:

    • Employing an extended state observer (ESO) to estimate system states and nonlinear terms.

    Related Experiment Videos

  • Implementing predictive control to compensate for network-induced delays.
  • Applying arbitrary region quantizers in both forward and feedback channels.
  • Developing a "zoom" strategy to establish stabilization conditions.

    • Main Results:

    • Sufficient conditions for the stabilization of the closed-loop networked control system are derived.
    • The proposed ESO-based predictive control effectively manages nonlinearities and network delays.
    • The effectiveness of the control strategy is demonstrated through a simulation example.

    Conclusions:

    • The presented networked predictive control approach, utilizing an ESO and quantization, guarantees stabilization for planar nonlinear systems.
    • The method offers a robust solution for NCS operating under network-induced delays and signal quantization.
    • Simulation results validate the advantages and practical applicability of the proposed control strategy.