Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
Consensus and Cooperation in Networked Multi-Agent Systems
Bipartite consensus for multi-agent systems on directed signed networks
Distributed Primal–Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
Planning for decentralized control of multiple robots under uncertainty
A Decentralized Framework for Multi-Agent Robotic Systems
Event-sampled adaptive neural network control of robot manipulators
Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems
Adaptive control of nonlinear PID-based analog neural networks for a nonholonomic mobile robot
Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach
Gaussian Networks for Direct Adaptive Control
Stability and consensus for T-S fuzzy complex dynamical networks
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Consensus problems in networks of agents with switching topology and time-delays
An Adaptive PID Neural Network for Complex Nonlinear System Control
A Survey of Recent Results in Networked Control Systems
Identification and adaptive neural network control of a DC motor system with dead-zone characteristics.
Adaptive Neural Network Control of a Self-Balancing Two-Wheeled Scooter
An iterative learning approach to formation control of multi-agent systems
Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective
Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment
Mid-face Rejuvenation Mr Dalvi Humzah and
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System
Dynamic fictitious play, dynamic gradient play, and distributed convergence to Nash equilibria
The Art of Getting Deep Neural Networks in Shape