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- Journal Article
- A1
- open access
Data-driven virtual sensing for probabilistic condition monitoring of solenoid valves
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Probabilistic majorization of partially observable markov decision processes
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- Journal Article
- A1
- open access
Probabilistic control and majorisation of optimal control
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Dynamic Feedback Linearization of Flying Wings With Real-time Newton-Raphson Iterations
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Trajectory Planning of Slider-Pushers in Cluttered Environments with Automatic Switching
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Adaptive Risk-Sensitive Optimal Control with Dual Features Through Active Inference
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A Probabilistic Treatment of (PO)MDPs with Multiplicative Reward Structure
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- Journal Article
- A1
- open access
Optimizing cascaded control of mechatronic systems through constrained residual reinforcement learning
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- Journal Article
- A1
- open access
Differential flatness of slider-pusher systems for constrained time optimal collision free path planning
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- Journal Article
- A1
- open access
A posteriori control densities : imitation learning from partial observations
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A supervisory learning control framework for autonomous & real-time task planning for an underactuated cooperative robotic task
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Data-driven identification of stochastic system dynamics under partial observability using physics-based model priors with application to acrobot
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Multi-objective co-design for mission-specific development of unmanned aerial systems
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Flatness-based MPC using B-splines transcription with application to a Pusher-Slider System
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Towards task tailored articulated robot designs
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- Conference Paper
- C3
- open access
Towards bayesin co-design for mission specific design of dynamical systems
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- Conference Paper
- C3
- open access
Learning to cooperate : a hierarchical cooperative dual arm approach for underactuated pick-and-placing
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Adaptive control of a mechatronic system using constrained residual reinforcement learning
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Entropy regularised deterministic optimal control : from path integral solution to sample-based trajectory optimisation
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Comparative study of sample based model predictive control with application to autonomous racing
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- Journal Article
- A1
- open access
A radial basis function-based optimization algorithm with regular simplex set geometry in ellipsoidal trust-regions
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- Journal Article
- A1
- open access
Information-theoretic policy learning from partial observations with fully informed decision makers
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Efficient ODE substructure identification of the acrobot under partial observability using neural networks and direct multiple shooting
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Comparative study of co-design strategies for mission-specific design of quadcopters using differential flatness and Bayesian optimization
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Learning to cooperate : a hierarchical cooperative dual robot arm approach for underactuated pick-and-placing
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Overload clutch design for collision tolerant high-speed industrial robots
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On moment estimation from polynomial chaos expansion models
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Overload clutch design for collision tolerant high–speed industrial robots
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- Journal Article
- A1
- open access
On entropy regularized Path Integral Control for trajectory optimization
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Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies
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Inverse parametric uncertainty identification using polynomial chaos and high-order moment matching benchmarked on a wet friction clutch
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A framework for robust quadratic optimal control with parametric dynamic model uncertainty using polynomial chaos
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- Conference Paper
- P1
- open access
Path integral policy improvement with differential dynamic programming
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- PhD Thesis
- open access
Approximate numerical solution strategies for dynamic optimization and optimal control problems
(2019) -
Inverse stochastic quadcopter trajectory generation using flat inverse dynamics and polynomial chaos uncertainty propagation
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Adaptive approximate dynamic optimization : a slider-crank case study
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- Journal Article
- A2
- open access
Parametric uncertainty quantification using polynomial chaos expansions applied to a wet friction clutch model
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Polynomial chaos reformulation in nonlinear stochastic optimal control with application on a drivetrain subject to bifurcation phenomena
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- Conference Paper
- C3
- open access
Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization
(2018) -
A trajectory-based sampling strategy for sequentially refined metamodel management of metamodel-based dynamic optimization in mechatronics
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- Conference Paper
- P1
- open access
Polynomial chaos explicit solution of the optimal control problem in model predictive control
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Towards Accelerated Optimal Control with Black-Box System Simulators using an Adaptive Surrogate Model Refinement Trust Region Management Framework
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- Conference Paper
- C1
- open access
Optimizing state trajectories using surrogate models with application on a mechatronic example