MPC as a tool for sustainable development integrated policy assessment

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 18, 2003, Pages 513-518

  Kouvaritakis, B ^a   Cannon, M ^a   Huang, G ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Model predictive control; Stochastic systems; Sustainable development

Indexed keywords

ENVIRONMENTAL PROTECTION; PLANNING; PREDICTIVE CONTROL SYSTEMS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SUSTAINABLE DEVELOPMENT;

CLOSED-LOOP PERFORMANCE; DEVELOPMENT POLICIES; MULTI OBJECTIVE; OPEN-LOOP; POLICY ASSESSMENT; QUANTITATIVE APPROACH;

MODEL PREDICTIVE CONTROL;

EID: 10444279337     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)34720-1     Document Type: Conference Paper

References (11)

1. Akaike, H. (1974). New look at the statistical model identification. IEEE TraIlS. AI/t. Control 19(6).716--723.
2. Cloud. DJ., B. Kouvaritakis (1986). Statistical bounds on multivariable frequency response: An extension of the generalized Nyquist criterion. Proc. lEE pt. D 133(3),97-110.
3. Cutler, CR., B.L. Ramaker (1980). Dynamic matrix control- A computer control algorithm. In: Proc. lACe. San Francisco.
4. Kerrigan, E., J.M. Maciejowski (2003). Robustly stable feedback min-max model predictive con-tro!. In: Proc. American Control COI~f. pp. 34903495.
5. Kouvaritakis, B., J.A. Rossiter (1991). Use ofbicausal weighting sequences in least squares identification of open-loop unstable dynamic systems. Proc. lEE pt. D 139(3), 328-336.
6. Kouvaritakis, N. (2000a). The ISPA meta mode!. Technical report. European Commission project ENG2-CT-1999-00003.
7. Kouvaritakis, N. (2000h). Prometheus. Model developed under European Commission project ENG2-CT-1999-00003.
8. Kouvaritakis. N. (2002). Methodologies for integrating impact assessment in the field of sustainable development (MINIMA-SUO). Technical report. European Commission pr~iect EVG I-CT-200200082.
9. Loho, M. L. Vandenherghe, S. Boyd and H. Lebret ( 1998). Applications of second-order cone programming. Linear Algebra and its Applications 284. 193-228.
10. Rossiter, J.A., B. Kouvaritakis (lOO I). Modelling and implicit modelling for predictive control. Int. J. Colltrol74( 1I ), 1085-1095.
11. van Hessem, D.H., CW. Scherer and O.H. Bosgra (2001). LMI-based closed-loop economic optimization of stochastic processes under state and input constraints. In: Proc. 40th IEEE COI~f Decision and Control. pp. 4223-4228.