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08/15/2022
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles
Conventional physics-based modeling is a time-consuming bottleneck in co...
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08/03/2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
We develop a novel form of differentiable predictive control (DPC) with ...
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07/11/2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations
Networked dynamical systems are common throughout science in engineering...
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05/22/2022
Neural Lyapunov Differentiable Predictive Control
We present a learning-based predictive control methodology using the dif...
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03/02/2022
Learning Stochastic Parametric Differentiable Predictive Control Policies
The problem of synthesizing stochastic explicit model predictive control...
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07/25/2021
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
We present a differentiable predictive control (DPC) methodology for lea...
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04/19/2021
Randomized Algorithms for Scientific Computing (RASC)
Randomized algorithms have propelled advances in artificial intelligence...
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01/06/2021
Constrained Block Nonlinear Neural Dynamical Models
Neural network modules conditioned by known priors can be effectively tr...
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11/26/2020
Spectral Analysis and Stability of Deep Neural Dynamics
Our modern history of deep learning follows the arc of famous emergent d...
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04/23/2020
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems
This paper presents a novel data-driven method for learning deep constra...
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04/23/2020
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Linear Systems
This paper presents a novel data-driven method for learning deep constra...
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04/22/2020
Constrained Neural Ordinary Differential Equations with Stability Guarantees
Differential equations are frequently used in engineering domains, such ...
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04/15/2018