Milad Shahvali

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Feedback Control

Fractional Order

Multiagent Environments

Transport Systems

Top Venues

Int. J. Gen. Syst.

J. Syst. Control. Eng.

IEEE Control. Syst. Lett.

Publications

Milad Shahvali, Stelios G. Vrachimis, Marios M. Polycarpou
Distributed Backstepping Control for Nonlinear Switched Interconnected Systems: An Application of Water Transport Systems. ECC (2024)
Milad Shahvali, Ali Azarbahram, Naser Pariz
Adaptive output consensus of nonlinear fractional-order multi-agent systems: a fractional-order backstepping approach. Int. J. Gen. Syst. 52 (2) (2023)
Milad Shahvali, Mohammad-Bagher Naghibi-Sistani, Javad Askari
Dynamic Event-Triggered Control for a Class of Nonlinear Fractional-Order Systems. IEEE Trans. Circuits Syst. II Express Briefs 69 (4) (2022)
Milad Shahvali, Mohammad-Bagher Naghibi-Sistani, Javad Askari
Distributed adaptive dynamic event-based consensus control for nonlinear uncertain multi-agent systems. J. Syst. Control. Eng. 236 (9) (2022)
Milad Shahvali, Mohammad-Bagher Naghibi-Sistani, Javad Askari
Adaptive fault compensation control for nonlinear uncertain fractional-order systems: Static and dynamic event generator approaches. J. Frankl. Inst. 358 (12) (2021)
Milad Shahvali, Ali Azarbahram, Mohammad-Bagher Naghibi-Sistani, Javad Askari
Bipartite consensus control for fractional-order nonlinear multi-agent systems: An output constraint approach. Neurocomputing 397 (2020)
Milad Shahvali, Mohammad-Bagher Naghibi-Sistani, Hamidreza Modares
Distributed Consensus Control for a Network of Incommensurate Fractional-Order Systems. IEEE Control. Syst. Lett. 3 (2) (2019)
Milad Shahvali, Mohammad-Bagher Naghibi-Sistani, Javad Askari
Adaptive output-feedback bipartite consensus for nonstrict-feedback nonlinear multi-agent systems: A finite-time approach. Neurocomputing 318 (2018)
Milad Shahvali, Javad Askari
Distributed containment output-feedback control for a general class of stochastic nonlinear multi-agent systems. Neurocomputing 179 (2016)