Results 171 to 180 of about 12,042 (216)

Energy-Efficient Actuation for Wearable Exoskeletons: A Virtual Prototype. [PDF]

Appl Bionics Biomech
Ghaffar A, Rehman A, Riaz MT, Mahmud MMSA.   +3 more
europepmc   +1 more source

Design of shared steering control system with enhanced overall stability. [PDF]

Sci Rep
Li X, Wang Y, Su C, Wang Z, Zheng X, Huang J.   +5 more
europepmc   +1 more source

Leveraging Innovative Electronic Health Record Data to Characterize Social Determinants of Health Among Survivors of Cancer in Persistent Poverty Areas: Cross-Sectional Study. [PDF]

JMIR Cancer
Tanaka S, Rogers LQ, Zubkoff L, Bateman L, Demark-Wahnefried W, Rocque G, Bae S, Pisu M, Booth J, Howell CR.   +9 more
europepmc   +1 more source

CD22-targeted immunotherapy for B-cell acute lymphoblastic leukemia progressing following CD19-targeted immunotherapy. [PDF]

NPJ Precis Oncol
Song F, Yang J, Zhang M, Fu S, Feng J, Hong R, Lu Y, Chang AH, Zhang X, Huang H, Hu Y, Wei G.   +11 more
europepmc   +1 more source

The Lateral Control of Unmanned Vehicles Based on Neural Network Identification and a Fast Tube Model Predictive Control Algorithm. [PDF]

Sensors (Basel)
Dai Y, Zhou Z.
europepmc   +1 more source

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A convex approach to robust LQR

2020 59th IEEE Conference on Decision and Control (CDC), 2020
In this paper, we propose some new convex strategies for robust optimal control. In particular, we treat the problem of designing finite-horizon linear quadratic regulator (LQR) for uncertain discrete-time systems focusing on minimax strategies. A time-invariant linear control law is obtained just solving sequentially two convex optimization problems ...
Scampicchio A., Pillonetto G.
openaire   +3 more sources

Bounded-Error LQR-Trees

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
We present a feedback motion planning algorithm, Bounded-Error LQR-Trees, that leverages reinforcement learning theory to find a policy with a bounded amount of error. The algorithm composes locally valid linear-quadratic regulators (LQR) into a nonlinear controller, similar to how LQR-Trees constructs its policy, but minimizes the cost of the ...
Barrett Ames, George Dimitri Konidaris
openaire   +2 more sources

On LQR control with asynchronous clocks

IEEE Conference on Decision and Control and European Control Conference, 2011
We consider LQR control for a scalar system when the sensor, controller, and actuator all have their own clocks that may drift apart from each other. We consider both an affine and a quadratic clock model. For a quadratic cost function, we analyze the loss of performance incurred as a function of how asynchronous the clocks are.
Rahul Singh 0001, Vijay Gupta 0001
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Localized LQR control with actuator regularization

2016 American Control Conference (ACC), 2016
In previous work, we posed and solved the localized linear quadratic regulator (LLQR) problem - a LLQR controller is one that limits the propagation of dynamics to user-specified subsets of the global system. The advantages of taking this approach are tangible, as we show that this allows the controller to be synthesized and implemented in a scalable ...
Wang, Yuh-Shyang, Matni, Nikolai, Doyle, John C.   +2 more
openaire   +3 more sources

LQR via First Order Flows

2020 American Control Conference (ACC), 2020
We consider the Linear-Quadratic-Regulator (LQR) problem in terms of optimizing a real-valued matrix function over the set of feedback gains. Such a setup facilitates examining the implications of a natural initial-state independent formulation of LQR in designing first order algorithms.
Jingjing Bu, Afshin Mesbahi, Mehran Mesbahi   +2 more
openaire   +2 more sources