Multiscale time abstractions for long-range planning under uncertainty

Author:

Sukkerd Roykrong1,Cámara Javier1,Garlan David1,Simmons Reid1

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA

Publisher

ACM Press

Reference11 articles.

1. E. A. Bakirtzis, P. N. Biskas, and A. G. Bakirtzis. Dynamic reserves quantification for variable time resolution scheduling. InPowerTech, 2015 IEEE Eindhoven, pages 1--6. IEEE, 2015.

2. E. A. Bakirtzis, P. N. Biskas, D. P. Labridis, and A. G. Bakirtzis. Multiple time resolution unit commitment for short-term operations scheduling under high renewable penetration.Power Systems, IEEE Transactions on, 29(1):149--159, 2014.

3. J. Cámara, P. Correia, R. de Lemos, D. Garlan, P. Gomes, B. R. Schmerl, and R. Ventura. Evolving an adaptive industrial software system to use architecture-based self-adaptation. In M. Litoiu and J. Mylopoulos, editors,Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2013, San Francisco, CA, USA, May 20--21, 2013, pages 13--22. IEEE Computer Society, 2013.

4. J. Cámara, A. Girard, and G. Gößler. Safety controller synthesis for switched systems using multi-scale symbolic models. InProceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Orlando, FL, USA, December 12--15, 2011, pages 520--525, 2011.

5. J. Cámara, A. Girard, and G. Gößler. Synthesis of switching controllers using approximately bisimilar multiscale abstractions. InProceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011, Chicago, IL, USA, April 12--14, 2011, pages 191--200, 2011.

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