Recent years have seen a drive to gain the theoretical guarantees, as well as the proven practical benefits of model predictive control (MPC) in a broad range of new application areas. The underlying theory of MPC has become well established over the last decade, and it is now a simple and powerful paradigm for implementing complex control laws and is currently the only technique available for synthesizing controllers that can explicitly ensure constraint satisfaction by design. Contrary to the classic application areas of MPC involving expensive product, slow sampling rates, and massively complex plants, these new systems are characterized by their aggressive demand for fast sample rates, high reliability, low cost, and/or efficient use of energy.
The goal of this issue is to provide a state-of-the-art picture of embedded optimization methods applied to control and estimation. To that purpose, papers focusing on new methods and applications utilizing embedded optimization are welcomed including, but not limited to, some of the following topics:
optimization-based control techniques targeted at embedded platforms (predictive control, moving-horizon estimation, etc.);
methodologies for deterministic time optimization and/or real-time certification;
codesign of hardware, algorithms, and software for embedded optimization;
algorithm design for low-power or low-cost platforms (FPGAs, DSPs, PLCs, microcontrollers, etc);
case studies demonstrating the efficacy of embedded optimization in novel and challenging application areas;
descriptions of innovative, open-source software and interfaces for implementing optimization methods in embedded systems;
tutorial or survey papers on the topic.
Papers are invited that focus on transitioning from theoretical to practical studies with emphasis on methodologies for the design, synthesis, and application of embedded control systems. Studies written or coauthored by researchers from industry are encouraged, as well as papers involving either real data or detailed and realistic simulations. All submissions will be reviewed following the standard procedures of the journal.
Prospective authors are requested to submit their manuscript online by October 1, 2013, to http://mc.manuscriptcentral.com/ocam-wiley (follow the instructions under ‘Author Centre’ and select the manuscript type, ‘Predictive Control for Embedded Systems’, when submitting).
It would be appreciated if you could inform the guest editors in advance of your intention to submit a paper.
Guest Editors for the special issue:
- Colin Jones
- Automatic Control Lab (LA)
- Lausanne, Switzerland
- E-mail: email@example.com
- Eric Kerrigan
- Departments of Electrical & Electronic Engineering, and Aeronautics
- Imperial College London
- London, U.K.
- E-mail: firstname.lastname@example.org