JOURNAL ARTICLE

Model Predictive Control of NCSs with Quantization Packet Dropout and Time Delays

Abstract

This paper proposes model predictive control approach for discrete time linear network control systems with quantization, packet dropout and time delays. Moreover, input and output constraints are also taken into account. The predictive controller which guarantees the stability of the closed-loop system is obtained by solving a set of linear matrix inequalities(LMIs). Finally, numerical examples is given to demonstrate the effectiveness of the proposed method.

Keywords:
Dropout (neural networks) Model predictive control Control theory (sociology) Quantization (signal processing) Network packet Computer science Discrete time and continuous time Linear system Exponential stability Stability (learning theory) Control (management) Mathematics Algorithm Nonlinear system Artificial intelligence

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
14
Refs
0.17
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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