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[PDF] Top 20 Adaptive Robust Control Under Model Uncertainty

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Adaptive Robust Control Under Model Uncertainty

Adaptive Robust Control Under Model Uncertainty

... uncertain control problem in continuous time, that involves learning, has been done in [ KOZ14 ...stochastic control problems subject to model uncertainty, starting with robust ... Voir le document complet

23

Robust adaptive stabilization by delay under state parametric uncertainty and measurement bias

Robust adaptive stabilization by delay under state parametric uncertainty and measurement bias

... Robust adaptive stabilization by delay under state parametric uncertainty and measurement bias Wang ...output robust adaptive control is designed for a class of Lipschitz ... Voir le document complet

9

Adaptive robust model predictive control for nonlinear systems

Adaptive robust model predictive control for nonlinear systems

... This thesis presented a tube Model Predictive Control framework for nonlinear systems that have uncertain dynamics and are subject to unknown external disturbances. [r] ... Voir le document complet

124

The French biofuels mandates under cost uncertainty - an assesment based on robust optimization

The French biofuels mandates under cost uncertainty - an assesment based on robust optimization

... process-based model derived from IFPEN OURSE model 4 (including 20 process units and products specifications, see Saint-Antonin (1998) or Tehrani (2008) for detailed presentations), biofuel units (first ... Voir le document complet

39

Utility maximization with proportional transaction costs under model uncertainty

Utility maximization with proportional transaction costs under model uncertainty

... The main objective of this paper is therefore to study the existence of the optimal strategy, the convex duality theorem and the auxiliary dynamic programming principle for a semi-static utility maximization problem with ... Voir le document complet

27

Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty

Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty

... a model. This problem can be solved using standard optimal control tools, however, in general, actuation has some ...implement) control policies, which can also solve the ...based control, ... Voir le document complet

6

Robust control of a bimorph mirror for adaptive optics system

Robust control of a bimorph mirror for adaptive optics system

... of robust control of an AO ...state-space model of an AO loop (as in [5] and instead of a discrete one in [2] and [9]) and without ...our model but it is not our point here, even if we ... Voir le document complet

16

Automatic calibration of an urban microclimate model under uncertainty

Automatic calibration of an urban microclimate model under uncertainty

... automatic model calibration and, for the first time, applies it to an urban microclimate ...fairly robust simulator to approximate the urban thermal behavior for different ... Voir le document complet

86

Automated verification of model-based programs under uncertainty

Automated verification of model-based programs under uncertainty

... We seek to answer the verification question "What are the k most likely plant trajec- tories that do not achieve a given goal within N time steps, given the control[r] ... Voir le document complet

91

Optimal control under uncertainty and Bayesian parameters adjustments

Optimal control under uncertainty and Bayesian parameters adjustments

... impulse control problems seems to be new in the ...the uncertainty on the parameter driving the dynamics, the only natural filtration to which the control policy should be adapted is the one ... Voir le document complet

22

Portfolio diversification and model uncertainty: a robust dynamic mean-variance approach

Portfolio diversification and model uncertainty: a robust dynamic mean-variance approach

... of model uncertainty. Our paper considers both robust mean-variance and utility framework in continuous time to investigate the impact of combined drift and correlation ambiguity on portfolio ... Voir le document complet

50

Comparison Between Robust and Stochastic Optimisation for Long-term Reservoir Management Under Uncertainty

Comparison Between Robust and Stochastic Optimisation for Long-term Reservoir Management Under Uncertainty

... high uncertainty about the inflows to the ...The uncertainty is embedded using either stochastic or robust programming in a model-predictive-control ...the robust approaches, we ... Voir le document complet

19

Addressing deep uncertainty in space system development through model-based adaptive design

Addressing deep uncertainty in space system development through model-based adaptive design

... 5.2.1 Starshade Architecture The baseline Starshade architecture assumed in this problem closely corresponds to the Rendezvous design from the 2015 JPL Exo-S Final Report [84]. Figure 5-2 shows a schematic of the bus ... Voir le document complet

202

Absolute vs. Intensity Limits for CO2 Emission Control: Performance Under Uncertainty

Absolute vs. Intensity Limits for CO2 Emission Control: Performance Under Uncertainty

... been the optimal choice for the form of their emission cap. Our results indicate that intensity caps may be preferable to absolute caps for a broad range of emission reduction commitments. This finding is robust ... Voir le document complet

31

A new deconvolution approach to robust fluence for intensity modulation under geometrical uncertainty.

A new deconvolution approach to robust fluence for intensity modulation under geometrical uncertainty.

... cm under the surface in the beam direction for those fluence ...better control for high doses delivered to normal tissue than the other three methods (Figure 9(a) and ... Voir le document complet

18

Adaptive loop sensitivity characteristics for a model reference adaptive control system

Adaptive loop sensitivity characteristics for a model reference adaptive control system

... In an attempt to reduce the wide range of adaptive loop sensitivities required for optimum performance under various flight conditions, initial parameter settings, a[r] ... Voir le document complet

70

Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty

Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty

... Terms—Adaptive control, force control, uncertain kine- matics and dynamics, visual ...to control not only the position but also the interac- tion force between the robot end-effector and the ... Voir le document complet

12

Robust adaptive beamforming using a Bayesian steering vector error model

Robust adaptive beamforming using a Bayesian steering vector error model

... power under the con- straint that the gain towards the actual steering vector be larger than one with a given ...an adaptive beamformer under a Gaussian hypothesis for the steering vector ... Voir le document complet

11

Adaptive FDR control under independence and dependence

Adaptive FDR control under independence and dependence

... extreme model (see Finner et ...LSU under positive dependence). Conversely, the FDR of some adaptive procedures can be higher under moderate dependence than under maximal ... Voir le document complet

31

Optimal control under uncertainty and Bayesian parameters adjustments

Optimal control under uncertainty and Bayesian parameters adjustments

... impulse control problems seems to be new in the ...the uncertainty on the parameter driving the dynamics, the only natural filtration to which the control policy should be adapted is the one ... Voir le document complet

23

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