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Optimal Epidemic Control

2023
We develop a flexible single-state model to represent tradeoffs between infections and activity during the early phase of an epidemic. We prove that optimal policy is continuous in the state but discontinuous in the deterministic arrival date of a cure; optimal lockdowns are followed by stimulus policies; and re-infection risk renders laissez faire ...
Gonzales-Eiras, Martín, Niepelt, Dirk
openaire   +2 more sources

Optimized joystick controller

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
The purpose of the study was to develop an optimized joystick control interface for electric powered wheelchairs and thus provide safe and effective control of electric powered wheelchairs to people with severe physical disabilities. The interface enables clinicians to tune joystick parameters for each individual subject through selecting templates ...
D, Ding, R A, Cooper, D, Spaeth
openaire   +2 more sources

An Optimally Controlled Respirator

IEEE Transactions on Biomedical Engineering, 1971
An optimally controlled respirator was developed. It has three main features: 1) ventilation is controlled by the patient's metabolic rate from continuously measured C0 2 output, 2) physiologic dead space approximated as a linear function of tidal volume is used to estimate alveolar ventilation, and 3) respiratory rate is computed to minimize ...
Y, Mitamura   +3 more
openaire   +2 more sources

Transformer-Based Model Predictive Control: Trajectory Optimization via Sequence Modeling

IEEE Robotics and Automation Letters
Model predictive control (MPC) has established itself as the primary methodology for constrained control, enabling general-purpose robot autonomy in diverse real-world scenarios.
Davide Celestini   +5 more
semanticscholar   +1 more source

Distributed Optimization for Control

Annual Review of Control, Robotics, and Autonomous Systems, 2018
Advances in wired and wireless technology have necessitated the development of theory, models, and tools to cope with the new challenges posed by large-scale control and optimization problems over networks. The classical optimization methodology works under the premise that all problem data are available to a central entity (a computing agent or node).
Angelia Nedic, Ji Liu 0001
openaire   +1 more source

(Sub-)Optimal Control

2008
There are several optimal control problems that can be naturally cast in a set-theoretic framework and for which set-theoretic techniques provide efficient tools. Although by far non-exhaustive, this chapter considers several cases and discusses several solutions.
Franco Blanchini, Stefano Miani
openaire   +1 more source

Sliding Modes in Control and Optimization

Communications and Control Engineering Series, 1992
V. Utkin
semanticscholar   +1 more source

Optimal controllers are fragile

Proceedings of the 2003 American Control Conference, 2003., 2004
Optimal controllers are structurally unstable. The instability is intrinsic because of constrained optimization. This kind of instability is sometimes identified with "fragility" in the control literature. The fragility is related to hidden degeneracies in the polynomials and matrices of the optimized systems, and may detected by looking for certain ...
openaire   +1 more source

CasADi: a software framework for nonlinear optimization and optimal control

Mathematical Programming Computation, 2018
Joel A. E. Andersson   +4 more
semanticscholar   +1 more source

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