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Control Systems

152 papers

Papers per year

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1
27
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Papers

Structured Mechanical Models for Robot Learning and Control L4DC 2020
Robust Guarantees for Perception-Based Control L4DC 2020
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint L4DC 2020
On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
NeurOpt: Neural network based optimization for building energy management and climate control L4DC 2020
Learning supported Model Predictive Control for Tracking of Periodic References L4DC 2020
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty L4DC 2020
Robust Learning-Based Control via Bootstrapped Multiplicative Noise L4DC 2020
Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020
Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm L4DC 2020
Data-Driven Distributed Predictive Control via Network Optimization L4DC 2020
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty L4DC 2020
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020
Frequency Modulation of Body Waves to Improve Performance of Limbless Robots RSS 2020
Towards neuromorphic control: A spiking neural network based PID controller for UAV RSS 2020
MPTC – Modular Passive Tracking Controller for stack of tasks based control frameworks RSS 2020
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space CORL 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments CORL 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer CORL 2019
A Learnable Safety Measure CORL 2019
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints CORL 2019
Augmenting Markov Decision Processes with Advising AAAI 2019
Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019