[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Huo et al., 2019 - Google Patents

Fully distributed consensus for general linear multi‐agent systems with unknown external disturbances

Huo et al., 2019

View PDF @Full View
Document ID
15746140039070725161
Author
Huo Y
Lv Y
Wu X
Duan Z
Publication year
Publication venue
IET Control Theory & Applications

External Links

Snippet

This study investigates the consensus problem for general linear multi‐agent systems with unknown external disturbances. Both the leaderless and the leader–follower consensus problems are considered. By using the absolute output information of each agent, the local …
Continue reading at ietresearch.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Wei et al. Leader‐following consensus of second‐order multi‐agent systems with arbitrarily appointed‐time prescribed performance
Defoort et al. Leader‐follower fixed‐time consensus for multi‐agent systems with unknown non‐linear inherent dynamics
Huo et al. Fully distributed consensus for general linear multi‐agent systems with unknown external disturbances
Zhao et al. Distributed finite‐time tracking of multiple Euler–Lagrange systems without velocity measurements
Ren et al. Sliding mode leader‐following consensus controllers for second‐order non‐linear multi‐agent systems
Zhao et al. Finite‐time consensus for second‐order multi‐agent systems with saturated control protocols
Yin et al. Consensus of fractional‐order heterogeneous multi‐agent systems
Xie et al. Consensus for multi‐agent systems with distributed adaptive control and an event‐triggered communication strategy
Liang et al. Cooperative robust containment control for general discrete‐time multi‐agent systems with external disturbance
Chen et al. Finite‐time cooperative‐tracking control for networked Euler–Lagrange systems
Gong Distributed consensus of non‐linear fractional‐order multi‐agent systems with directed topologies
Li et al. Data‐driven consensus for non‐linear networked multi‐agent systems with switching topology and time‐varying delays
Zhang et al. Event‐triggered iterative learning control for multi‐agent systems with quantization
Han et al. Distributed finite‐time formation tracking control of multi‐agent systems via FTSMC approach
Xu et al. Necessary and sufficient conditions for distributed containment control of multi‐agent systems without velocity measurement
Li et al. Chattering free sliding mode control for uncertain discrete time‐delay singular systems
Lv et al. Distributed adaptive consensus protocols for linear multi‐agent systems over directed graphs with relative output information
Wang et al. Cooperative adaptive fuzzy output feedback control for synchronization of nonlinear multi‐agent systems in the presence of input saturation
Yang et al. Consensus of descriptor multi‐agent systems via dynamic compensators
Cui et al. Distributed containment control for nonlinear multiagent systems in pure‐feedback form
Chen et al. Distributed finite‐time tracking control for multiple uncertain Euler–Lagrange systems with input saturations and error constraints
Chen et al. Adaptive sliding mode control for stochastic jump systems against sensor and actuator failures
Zhao et al. Consensus tracking for general linear stochastic multi‐agent systems: a sliding mode variable structure approach
Zhou et al. Fixed‐time event‐triggered consensus of second‐order multi‐agent systems with fully continuous communication free
Wang et al. Observer‐based event‐triggered control for consensus of general linear MASs