bookCambridge University Press eBooksJun 22, 2017Closed access

Predictive Control for Linear and Hybrid Systems

University of California, Berkeley · IMT School for Advanced Studies Lucca · +1 more institution

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Abstract

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors…

Citation impact

1,429
total citations
FWCI
58.64
Percentile
100%
References
248
Citations per year

Authors

3

Topics & keywords

Keywords
  • Model predictive control
  • Computer science
  • Robustness (evolution)
  • Toolbox
  • MATLAB
  • Control engineering
  • Linear programming
  • Linear system
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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