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Decoding Natural Behavior from Neuroethological Embedding

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N-Step MPC: A Staged Requirements-Dependent Mixed Time/Event-Triggered Encoding-Decoding Approach.

Fan Wei, Xiongbo Wan, Chuan-Ke Zhang

IEEE Transactions on Cybernetics

|January 12, 2026

Summary

This summary is machine-generated.

This study introduces a mixed time/event-triggered mechanism for N-step model predictive control (MPC) in uncertain systems. The approach optimizes resource usage and enhances security by adapting triggering strategies based on system state and requirements.

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Area of Science:

Control Engineering
Systems Theory
Optimization

Background:

Model Predictive Control (MPC) is crucial for complex systems.
Handling polytopic uncertain systems with hard constraints requires advanced strategies.
Existing methods may not efficiently balance performance and resource conservation.

Purpose of the Study:

To develop a novel mixed time/event-triggered mechanism (MTEM) for N-step MPC.
To address resource conservation and communication security in uncertain systems.
To improve control performance while minimizing computational and network load.

Main Methods:

A staged requirements-dependent MTEM is proposed.
Time-triggered control is used outside the terminal constraint set (TCS).
Adaptive event-triggered control is employed within the TCS, adjusting based on system state proximity.

Main Results:

The MTEM strategy enhances communication security and saves resources.
Offline and online optimization problems (OPs) are formulated for TCS and control laws.
The proposed N-step MPC algorithm demonstrates feasibility and input-to-state stability.

Conclusions:

The MTEM-based N-step MPC algorithm effectively balances control performance and resource savings.
The adaptive event-triggered component within the TCS optimizes resource use.
The strategy proves superior in practical applications through illustrative examples.