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B. Zheng, P. Deng, R. Anguluri, Q. Zhu, F. Pasqualetti.  2016.  Cross-Layer Codesign for Secure Cyber-Physical Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35:699-711.
B. Zheng, C. W. Lin, H. Yu, H. Liang, Q. Zhu.  2016.  CONVINCE: A cross-layer modeling, exploration and validation framework for next-generation connected vehicles. 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). :1-8.
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F. Miao, S. Han, S. Lin, G. J. Pappas.  2015.  Robust taxi dispatch under model uncertainties. 2015 54th IEEE Conference on Decision and Control (CDC). :2816-2821.
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M. Rungger, P. Tabuada.  2015.  A Notion of Robustness for Cyber-Physical Systems. IEEE Transactions on Automatic Control. PP:1-1.
M. Sam, S. Boddhu, J. Gallagher.  2017.  A dynamic search space approach to improving learning on a simulated Flapping Wing Micro Air Vehicle. 2017 IEEE Congress on Evolutionary Computation (CEC). :629-635.

Those employing Evolutionary Algorithms (EA) are constantly challenged to engineer candidate solution representations that balance expressive power (I.E. can a wide variety of potentially useful solutions be represented?) and meta-heuristic search support (I.E. does the representation support fast acquisition and subsequent fine-tuning of adequate solution candidates). In previous work with a simulated insect-like Flapping-Wing Micro Air Vehicle (FW-MAV), an evolutionary algorithm was employed to blend descriptions of wing flapping patterns to restore correct flight behavior after physical damage to one or both of the wings. Some preliminary work had been done to reduce the overall size of the search space as a means of improving time required to acquire a solution. This of course would likely sacrifice breadth of solutions types and potential expressive power of the representation. In this work, we focus on methods to improve performance by augmenting EA search to dynamically restrict and open access to the whole space to improve solution acquisition time without sacrificing expressive power of the representation. This paper will describe some potential restriction/access control methods and provide preliminary experimental results on the efficacy of these methods in the context of adapting FW-MAV wing gaits.

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