Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms. - Yan Xu 005; Chengdong Yang; Jinde Cao; Iakov Korovin; Sergey Gorbachev; Nadezhda Gorbacheva (Inf. Sci., 2022)

Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow. - Ping Liu; Iakov Korovin; Sergey Gorbachev; Nadezhda Gorbacheva; Jinde Cao (Neural Networks, 2022)

Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning. - Zikai Feng; Mengxing Huang; Yuanyuan Wu 002; Di Wu 058; Jinde Cao; Iakov Korovin; Sergey Gorbachev; Nadezhda Gorbacheva (Neural Networks, 2023)

A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. - Zhuoxuan Li 001; Iakov Korovin; Xinli Shi; Sergey Gorbachev; Nadezhda Gorbacheva; Wei Huang 017; Jinde Cao (IEEE CAA J. Autom. Sinica, 2023)

Distributed adaptive neural network consensus control of fractional-order multi-agent systems with unknown control directions. - Hongling Qiu; Iakov Korovin; Heng Liu 003; Sergey Gorbachev; Nadezhda Gorbacheva; Jinde Cao (Inf. Sci., 2024)

Neurodynamic approaches for multi-agent distributed optimization. - Luyao Guo; Iakov Korovin; Sergey Gorbachev; Xinli Shi; Nadezhda Gorbacheva; Jinde Cao (Neural Networks, 2024)