Ali Pakniyat

Orcid: 0000-0003-0665-0330

According to our database1, Ali Pakniyat authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Solving Feynman-Kac Forward-Backward SDEs Using McKean-Markov Branched Sampling.
IEEE Trans. Autom. Control., September, 2024

The minimum principle of hybrid optimal control theory.
Math. Control. Signals Syst., March, 2024

Distributed Adaptive Consensus with Obstacle and Collision Avoidance for Networks of Heterogeneous Multi-Agent Systems.
CoRR, 2024

2023
Value function estimators for Feynman-Kac forward-backward SDEs in stochastic optimal control.
Autom., December, 2023

2022
A Convex Duality Approach for Assigning Probability Distributions to the State of Nonlinear Stochastic Systems.
IEEE Control. Syst. Lett., 2022

A class of hybrid LQG mean field games with state-invariant switching and stopping strategies.
Autom., 2022

Shaping Large Population Agent Behaviors Through Entropy-Regularized Mean-Field Games.
Proceedings of the American Control Conference, 2022

2021
On the Hybrid Minimum Principle: The Hamiltonian and Adjoint Boundary Conditions.
IEEE Trans. Autom. Control., 2021

Partially Observed Steering the State of Linear Stochastic Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On the Time Discretization of the Feynman-Kac Forward-Backward Stochastic Differential Equations for Value Function Approximation.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Steering the State of Linear Stochastic Systems: A Constrained Minimum Principle Formulation.
Proceedings of the 2021 American Control Conference, 2021

2020
Forward-Backward RRT: Branched Sampled FBSDEs for Stochastic Optimal Control.
CoRR, 2020

2018
A Hybrid Optimal Control Approach to LQG Mean Field Games with Switching and Stopping Strategies.
CoRR, 2018

2017
On the Relation Between the Minimum Principle and Dynamic Programming for Classical and Hybrid Control Systems.
IEEE Trans. Autom. Control., 2017

A mean field game - Hybrid systems approach to optimal execution problems in finance with stopping times.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
On the stochastic Minimum Principle for hybrid systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
On the minimum principle and dynamic programming for hybrid systems with low dimensional switching manifolds.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Time Optimal Hybrid Minimum Principle and the Gear Changing Problem for Electric Vehicles.
Proceedings of the 5th IFAC Conference on Analysis and Design of Hybrid Systems, 2015

On the Relation between the Hybrid Minimum Principle and Hybrid Dynamic Programming: a Linear Quadratic Example.
Proceedings of the 5th IFAC Conference on Analysis and Design of Hybrid Systems, 2015

2014
The gear selection problem for electric vehicles: An optimal control formulation.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

On the relation between the Minimum Principle and Dynamic Programming for Hybrid systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Dynamic modeling and controller design for a seamless two-speed transmission for electric vehicles.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
The Hybrid Minimum Principle in the presence of switching costs.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


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