Boundaries of the receding horizon control for interconnected systems
Journal of Optimization Theory and Applications
Parallel and Distributed Computation: Numerical Methods
Parallel and Distributed Computation: Numerical Methods
A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
A decomposition approach to multi-vehicle cooperative control
Robotics and Autonomous Systems
Robust tracking control of mobile robot formation with obstacle avoidance
Journal of Control Science and Engineering
International Journal of Robotics Research
Technical Communique: On decentralized negotiation of optimal consensus
Automatica (Journal of IFAC)
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
Multi-agent model predictive control for transportation networks: Serial versus parallel schemes
Engineering Applications of Artificial Intelligence
Distributed Constraint Force Approach for Coordination of Multiple Mobile Robots
Journal of Intelligent and Robotic Systems
Robotics and Autonomous Systems
Nonlinear model predictive formation control for groups of autonomous surface vessels
CA '07 Proceedings of the Ninth IASTED International Conference on Control and Applications
Distributed Control over Networks Using Smoothing Techniques
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Mono Landmark Localization for an Autonomous Navigation of a Cooperative Mobile Robot Formation
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Distributed optimization for model predictive control of linear-dynamic networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Cluster space collision avoidance for mobile two-robot systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Brief paper: Distributed model predictive control of dynamically decoupled systems with coupled cost
Automatica (Journal of IFAC)
A centralized framework to multi-robots formation control: theory and application
CARE@AI'09/CARE@IAT'10 Proceedings of the CARE@AI 2009 and CARE@IAT 2010 international conference on Collaborative agents - research and development
Decentralized receding horizon control for large scale dynamically decoupled systems
Automatica (Journal of IFAC)
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Automatica (Journal of IFAC)
Brief paper: Finite-time multi-agent deployment: A nonlinear PDE motion planning approach
Automatica (Journal of IFAC)
A Modular Framework for Fast Prototyping of Cooperative Unmanned Aerial Vehicle
Journal of Intelligent and Robotic Systems
Consensus formation control for a class of networked multiple mobile robot systems
Journal of Control Science and Engineering - Special issue on Advances in Methods for Control over Networks
Distributed model predictive control of the multi-agent systems with improving control performance
Journal of Control Science and Engineering - Special issue on Model Predictive Control
Proceedings of the 9th international conference on Autonomic computing
Journal of Intelligent and Robotic Systems
Trajectory Planning and Control for Airport Snow Sweeping by Autonomous Formations of Ploughs
Journal of Intelligent and Robotic Systems
On distributed constrained formation control in operator-vehicle adversarial networks
Automatica (Journal of IFAC)
Hi-index | 22.16 |
We consider the control of interacting subsystems whose dynamics and constraints are decoupled, but whose state vectors are coupled non-separably in a single cost function of a finite horizon optimal control problem. For a given cost structure, we generate distributed optimal control problems for each subsystem and establish that a distributed receding horizon control implementation is stabilizing to a neighborhood of the objective state. The implementation requires synchronous updates and the exchange of the most recent optimal control trajectory between coupled subsystems prior to each update. The key requirements for stability are that each subsystem not deviate too far from the previous open-loop state trajectory, and that the receding horizon updates happen sufficiently fast. The venue of multi-vehicle formation stabilization is used to demonstrate the distributed implementation.