Asad Ullah Awan

Orcid: 0000-0002-5213-5746

According to our database1, Asad Ullah Awan authored at least 12 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Abstractions of networks of stochastic hybrid systems under randomly switched topologies: A compositional approach.
Syst. Control. Lett., May, 2023

Formal Synthesis of Safety Controllers for Unknown Systems Using Gaussian Process Transfer Learning.
IEEE Control. Syst. Lett., 2023

2022
Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2022

2020
From Dissipativity Theory to Compositional Abstractions of Interconnected Stochastic Hybrid Systems.
IEEE Trans. Control. Netw. Syst., 2020

2019
Designing image-based control systems considering workload variations.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Compositional abstraction for interconnected systems over Riemannian manifolds: A small-gain approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Compositional abstraction for interconnected systems over Riemannian manifolds: A dissipativity approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Compositional abstractions of networks of stochastic hybrid systems under randomly switched topologies.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Compositional abstraction of interconnected control systems under dynamic interconnection topology.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
On a notion of estimation entropy for stochastic hybrid systems.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Adaptive control of air-to-air missile using multilayer NN feedforward and RISE feedback terms.
Proceedings of the 10th Asian Control Conference, 2015

2013
Application of Echo-State Networks to the Position Control of Shape-Memory Alloys.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013


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