Path Following with Collision Avoidance and Velocity Constraints for Multi-Agent Systems
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Summary
Combining the optimization-based control study with the ability of MPC to handle convex and non-convex constraints allows a thorough analysis of the motion control of a group of agents with linear dynamics subject to state constraints.
- Type
- preprint
- Published
- 2010-01-01
- Cited by
- 0
- References
- 14
- OpenAlex
- https://openalex.org/W17197495
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:268890674
Keywords
Collision avoidance, Path (computing), Collision, Computer science, Computer security
References
- Graph Theoretic Methods in Multiagent Networks
- Predictive control : with constraints
- Simulating dynamical features of escape panic
- Control of systems integrating logic, dynamics, and constraints
- Constrained model predictive control: Stability and optimality
- Experiment and modeling of exit-selecting behaviors during a building evacuation
- DISTRIBUTED COOPERATIVE CONTROL OF MULTIPLE VEHICLE FORMATIONS USING STRUCTURAL POTENTIAL FUNCTIONS
- Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility
- A model predictive control-based approach for spacecraft formation keeping and attitude control
- Model predictive control of coordinated multi-vehicle formations
- Convergence in Multiagent Coordination, Consensus, and Flocking
- Real Time Trajectory Generation for Differentially Flat Systems
- Model Predictive Control
- A Flatness-Based Iterative Method for Reference Trajectory Generation in Constrained NMPC
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