Murphey et al., 2002 - Google Patents
Cooperative control and optimizationMurphey et al., 2002
- Document ID
- 4736206212978390755
- Author
- Murphey R
- Pardalos P
- Publication year
External Links
Snippet
A cooperative system is defined to be multiple dynamic entities that share information or tasks to accomplish a common, though perhaps not singular, objective. Examples of cooperative control systems might include: robots operating within a manufacturing cell …
- 238000005457 optimization 0 title abstract description 10
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
- G05D1/0295—Fleet control by at least one leading vehicle of the fleet
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
- G05D1/104—Simultaneous control of position or course in three dimensions specially adapted for aircraft involving a plurality of aircrafts, e.g. formation flying
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0027—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement involving a plurality of vehicles, e.g. fleet or convoy travelling
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0094—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Murphey et al. | Cooperative control and optimization | |
Beard et al. | Decentralized cooperative aerial surveillance using fixed-wing miniature UAVs | |
MahmoudZadeh et al. | Hybrid motion planning task allocation model for AUV’s safe maneuvering in a realistic ocean environment | |
Moon et al. | Cooperative task assignment and path planning for multiple UAVs | |
Ahmad et al. | PACNav: a collective navigation approach for UAV swarms deprived of communication and external localization | |
Capozzi | Evolution-based path planning and management for autonomous vehicles | |
Ahmadzadeh et al. | Cooperative control of uavs for search and coverage | |
Herrmann | Metareasoning for robots: Adapting in dynamic and uncertain environments | |
Arrichiello | Coordination control of multiple mobile robots | |
Clough | Unmanned aerial vehicles: autonomous control challenges, a researcher’s perspective | |
Brandstätter et al. | Multi-agent spatial predictive control with application to drone flocking | |
Yu et al. | Hybrid transformer based multi-agent reinforcement learning for multiple unmanned aerial vehicle coordination in air corridors | |
Sislak et al. | Automated conflict resolution utilizing probability collectives optimizer | |
Sirigineedi et al. | Modelling and verification of multiple uav mission using smv | |
Patnaik et al. | Innovations in robot mobility and control | |
Brandstätter et al. | Multi-agent spatial predictive control with application to drone flocking (extended version) | |
Vrba et al. | Collision avoidance algorithms: Multi-agent approach | |
Erdoğan et al. | Obstacle avoidance for a game theoretically controlled formation of unmanned vehicles | |
Jardine | A reinforcement learning approach to predictive control design: autonomous vehicle applications | |
Redding et al. | Collaborative mission planning, autonomy and control technology (CoMPACT) for unmanned surface vehicles | |
Makkapati | Games of pursuit-evasion with multiple agents and subject to uncertainties | |
Yang et al. | Geometry-Based Cooperative Conflict Resolution for Multi-UAV Combining Heading and Speed Control | |
Madni et al. | Combining formal and probabilistic modeling in resilient systems design | |
Zhu et al. | System Analysis and Verification: A Comprehensive Approach and Case Study | |
Lotspeich | Distributed control of a swarm of autonomous unmanned aerial vehicles |