Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems
Lai Wei, Ryan Mccloy, Jie Bao

TL;DR
This paper introduces a systematic method for contraction analysis and control synthesis of discrete-time nonlinear systems using Discrete-time Control Contraction Metrics, enabling tracking of time-varying targets in flexible manufacturing.
Contribution
It extends contraction theory to discrete-time systems and develops a synthesis approach using SOS programming for control design.
Findings
Effective discrete-time contraction analysis method
Control synthesis demonstrated on illustrative example
Enables tracking of time-varying targets in manufacturing
Abstract
Flexible manufacturing has been the trend in the area of the modern chemical process nowadays. One of the essential characteristics of flexible manufacturing is to track time-varying target trajectories (e.g. diversity and quantity of products). A possible tool to achieve time-varying targets is contraction theory. However, the contraction theory was developed for continuous time systems and there lacks analysis and synthesis tools for discrete-time systems. This article develops a systematic approach to discrete-time contraction analysis and control synthesis using Discrete-time Control Contraction Metrics (DCCM) which can be implemented using Sum of Square (SOS) programming. The proposed approach is demonstrated by illustrative example.
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Taxonomy
TopicsControl and Stability of Dynamical Systems · Advanced Control Systems Optimization · Petri Nets in System Modeling
