A. Chandrakasan and R. Brodersen, Minimizing power consumption in digital CMOS circuits, Proceedings of the IEEE, vol.83, issue.4, pp.498-523, 1995.
DOI : 10.1109/5.371964

K. Flautner, D. Flynn, D. Roberts, and D. Patel, IEM926: an energy efficient SoC with dynamic voltage scaling, Proceedings Design, Automation and Test in Europe Conference and Exhibition, pp.30324-30327, 2004.
DOI : 10.1109/DATE.2004.1269261

A. Varma, B. Ganesh, M. Sen, S. Choudhury, L. Srinivasan et al., A control-theoretic approach to dynamic voltage scheduling, Proceedings of the international conference on Compilers, architectures and synthesis for embedded systems , CASES '03, pp.255-266, 2003.
DOI : 10.1145/951710.951744

T. Ishihara and H. Yasuura, Voltage scheduling problem for dynamically variable voltage processors, Proceedings of the 1998 international symposium on Low power electronics and design , ISLPED '98, pp.197-202, 1998.
DOI : 10.1145/280756.280894
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.9415

J. Pouwelse, K. Langendoen, and H. Sips, Dynamic voltage scaling on a low-power microprocessor, Proceedings of the 7th annual international conference on Mobile computing and networking , MobiCom '01, pp.251-259, 2001.
DOI : 10.1145/381677.381701

B. Romanescu, M. Bauer, D. Sorin, and S. Ozev, Reducing the Impact of Process Variability with Prefetching and Criticality-Based Resource Allocation, 16th International Conference on Parallel Architecture and Compilation Techniques (PACT 2007), p.424, 2007.
DOI : 10.1109/PACT.2007.4336252

L. Fesquet and H. Zakaria, Controlling energy and process variability in System-on-Chips: needs for control theory, 2009 IEEE International Conference on Control Applications, pp.302-307, 2009.
DOI : 10.1109/CCA.2009.5280864
URL : https://hal.archives-ouvertes.fr/hal-00422305

M. Ferringer, G. Fuchs, A. Steininger, and G. Kempf, VLSI Implementation of a Fault-Tolerant Distributed Clock Generation, 2006 21st IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, pp.563-571, 2006.
DOI : 10.1109/DFT.2006.67

Y. Thonnart, E. Beigne, and P. Vivet, Design and Implementation of a GALS Adapter for ANoC Based Architectures, 2009 15th IEEE Symposium on Asynchronous Circuits and Systems, pp.13-22, 2009.
DOI : 10.1109/ASYNC.2009.13

H. Zakaria, S. Durand, L. Fesquet, and N. Marchand, Integrated Asynchronous Regulation for Nanometric Technologies In: First European Workshops on CMOS Variability VARI'10, pp.86-91, 2010.

J. Chiang, H. Lo, and T. Lw, Scalable Video Coding of H.264/AVC Video Streaming with QoS-based Active Dropping in 802, 16e Networks. In: 22nd Int. Conf. on Advanced Information Networking and Applications, pp.1450-1455, 2008.

C. Wurst, L. Steffens, W. Verhaegh, R. Bril, and C. Hentschel, QoS Control Strategies for High-Quality Video Processing, Real-Time Systems, vol.30, issue.1-2, pp.7-29, 2005.
DOI : 10.1007/s11241-005-0502-1

A. Cervin, J. Eker, B. Bernhardsson, and K. Arzen, Feedback-Feedforward Scheduling of Control Tasks. Real-Time Systems, pp.25-53, 2002.

C. Lu, J. Stankovic, S. Son, and G. Tao, Feedback Control Real-Time Scheduling: Framework, Modeling and Algorithms. Real-Time Systems Journal, pp.85-126, 2002.
DOI : 10.1145/346152.346275
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.441

J. Hellerstein, Y. Diao, S. Parekh, and D. Tilbury, Feedback Control of Computing Systems, 2004.
DOI : 10.1002/047166880X

Y. Sun and I. Ahmad, A Robust and Adaptive Rate Control Algorithm for Object-Based Video Coding IEEE Transactions on circuits and systems for video technology, pp.1167-1182, 2004.

C. Brites, J. Ascenso, J. Pedro, and F. Pereira, Evaluating a feedback channel based transform domain Wyner???Ziv video codec, Signal Processing: Image Communication, vol.23, issue.4, pp.269-297, 2008.
DOI : 10.1016/j.image.2008.03.002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.334.3307

D. Cicco, L. Mascolo, S. Palmisano, and V. , Feedback control for adaptive live video streaming, Proceedings of the second annual ACM conference on Multimedia systems, MMSys '11, pp.145-156, 2011.
DOI : 10.1145/1943552.1943573

S. Xiang, L. Cai, and J. Pan, Adaptive scalable video streaming in wireless networks, Proceedings of the 3rd Multimedia Systems Conference on, MMSys '12, pp.167-172, 2012.
DOI : 10.1145/2155555.2155583

J. Pouwelse, K. Langendoen, R. Lagendijk, and H. Sips, Power aware video decoding, 22nd Picture Coding Symposium, pp.303-306, 2001.

Z. Lu, J. Lach, M. Stan, and K. Skadron, Reducing multimedia decode power using feedback control, Proceedings 21st International Conference on Computer Design, pp.489-496, 2003.
DOI : 10.1109/ICCD.2003.1240945

D. Marculescu and E. Talpes, Energy Awareness and Uncertainty in Microarchitecture-Level Design, IEEE Micro, vol.25, issue.5, pp.64-76, 2005.
DOI : 10.1109/MM.2005.86

T. Wiegand, G. Sullivan, G. Bjontegaard, and A. Luthra, Overview of the H.264/AVC video coding standard, IEEE Transactions on Circuits and Systems for Video Technology, vol.13, issue.7, pp.560-576, 2003.
DOI : 10.1109/TCSVT.2003.815165

H. Schwarz, D. Marpe, and T. Wiegand, Overview of the Scalable Video Coding Extension of the H.264/AVC Standard, IEEE Transactions on Circuits and Systems for Video Technology, vol.17, issue.9, pp.1103-1120, 2007.
DOI : 10.1109/TCSVT.2007.905532

S. Durand and N. Marchand, Fully Discrete Control Scheme of the Energy-Performance Tradeoff in Embedded Electronic Devices, 18th IFAC World Congress, pp.3298-3303, 2011.
DOI : 10.3182/20110828-6-IT-1002.01961
URL : https://hal.archives-ouvertes.fr/hal-00568103

M. Alamir, Stabilization of Nonlinear Systems Using Receding-Horizon Control Schemes: A Parametrized Approach for Fast Systems, Lecture Notes in Control and Information Sciences, vol.339, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00113043

W. Kuzmicz, E. Piwowarska, A. Pfitzner, and D. Kasprowicz, Static Power Consumption in Nano-CMOS Circuits: Physics and Modelling, 2007 14th International Conference on Mixed Design of Integrated Circuits and Systems, pp.163-168, 2007.
DOI : 10.1109/MIXDES.2007.4286142

.. Frame, 12 3.2.1 Damping buffer provisioning, 12 3.2.3 Deadline and computing load control . . . . . . . . . . . . . . . . . . . . . . . 13

.. Experimental-results, 17 4.2.2 Control over various requested deadlines, p.20