Milad Shahvali

Orcid: 0000-0002-1460-5161

According to our database1, Milad Shahvali authored at least 12 papers between 2016 and 2025.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Event-Triggered Control for Nonlinear Uncertain Strict-Feedback Systems: An Adaptive Filtering Approach.
IEEE Trans. Autom. Control., April, 2025

A Dynamic Diagnostic Method for Consecutive Faults in Nonlinear Uncertain Systems.
Proceedings of the 2025 European Control Conference, 2025

Detection and Isolation of Multiple Consecutive Faults in Nonlinear Uncertain Systems.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Distributed Backstepping Control for Nonlinear Switched Interconnected Systems: An Application of Water Transport Systems.
Proceedings of the European Control Conference, 2024

2023
Adaptive output consensus of nonlinear fractional-order multi-agent systems: a fractional-order backstepping approach.
Int. J. Gen. Syst., February, 2023

2022
Dynamic Event-Triggered Control for a Class of Nonlinear Fractional-Order Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Distributed adaptive dynamic event-based consensus control for nonlinear uncertain multi-agent systems.
J. Syst. Control. Eng., 2022

2021
Adaptive fault compensation control for nonlinear uncertain fractional-order systems: Static and dynamic event generator approaches.
J. Frankl. Inst., 2021

2020
Bipartite consensus control for fractional-order nonlinear multi-agent systems: An output constraint approach.
Neurocomputing, 2020

2019
Distributed Consensus Control for a Network of Incommensurate Fractional-Order Systems.
IEEE Control. Syst. Lett., 2019

2018
Adaptive output-feedback bipartite consensus for nonstrict-feedback nonlinear multi-agent systems: A finite-time approach.
Neurocomputing, 2018

2016
Distributed containment output-feedback control for a general class of stochastic nonlinear multi-agent systems.
Neurocomputing, 2016


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