Title

Observer-based leader-following formation control of uncertain multiple agents by integral sliding mode

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2017

Volume

65

Issue

No 1

Authors

Qian, D.W. ; Tong, S.W. ; Li, C.D.

Divisions of PAS

Nauki Techniczne

Coverage

35-44

Date

2017

Identifier

DOI: 10.1515/bpasts-2017-0005 ; ISSN 2300-1917

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; 2017; 65; No 1; 35-44

References

Dai (2015), A switching formation strategy for obstacle avoidance of a multi - robot system based on robot priority model, ISA Trans, 123, doi.org/10.1016/j.isatra.2014.10.008 ; Oh (2015), A survey of multi - agent formation control, Automatica, 424, doi.org/10.1016/j.automatica.2014.10.022 ; Qian (2016), Load frequency control by neural - network - based integral sliding mode for nonlinear power systems with wind turbines, Neurocomputing, 875, doi.org/10.1016/j.neucom.2015.08.043 ; Zou (2012), Neural network - based adaptive output feedback formation control for multi - agent systems Nonlinear, Dyn, 70, 1283. ; Jiang (2016), Robust integral sliding - mode consensus tracking for multi - agent systems with time - varying delay, Asian J Control, 18, 224, doi.org/10.1002/asjc.1007 ; Dong (2016), Sliding mode control for multi - agent systems under a time - varying topology, Int J Syst Sci, 47, 2193, doi.org/10.1080/00207721.2014.979335 ; Esfahani (2016), A distributed model predictive control fault reconfiguration strategy for formation flying satellites, Int J Control, 89, 960, doi.org/10.1080/00207179.2015.1110753 ; Chang (2014), Adaptive fuzzy sliding - mode formation controller design for multi - robot dynamic aystems, Int J Fuzzy Syst, 16, 121. ; Dai (2016), Symmetric caging formation for convex polygonal object transportation by multiple mobile robots based on fuzzy sliding mode control, ISA Trans, 321, doi.org/10.1016/j.isatra.2015.11.017 ; Pazderski (2015), Control of a planar robot in the flight phase using transverse function approach, Bull Pol Tech, 63, 759. ; Qian (2016), Leader - following formation control of multiple robots with uncertainties through sliding mode and nonlinear disturbance observer, ETRI Journal, 38, 1008, doi.org/10.4218/etrij.16.0116.0048 ; Yu (2015), Finite - time consensus for second - order multi - agent systems with disturbances by integral sliding mode, Automatica, 158, doi.org/10.1016/j.automatica.2015.02.001 ; Ranjbar (2012), A novel robust decentralized adaptive fuzzy control for swarm formation of multiagent systems IEEE, Trans Ind Electron, 59, 3124, doi.org/10.1109/TIE.2012.2183831 ; Chang (2012), Fuzzy sliding - mode formation control for multirobot systems : design and implementation Part, IEEE Trans Syst Man Cybern Cybern, 42, 444, doi.org/10.1109/TSMCB.2011.2167679 ; Liu (2015), Robust formation control of discrete - time multi - agent systems by iterative learning approach, Int J Syst Sci, 46, 625, doi.org/10.1080/00207721.2013.793781 ; Salichon (2012), Evolving a multiagent controller for micro aerial vehicles Part, IEEE Trans Syst Man Cybern Appl Rev, 42, 1772, doi.org/10.1109/TSMCC.2012.2221696 ; Zhao (2012), Adaptive backstepping sliding mode control for leader - follower multi - agent systems, IET Contr Theory Appl, 6, 1109, doi.org/10.1049/iet-cta.2011.0001 ; Kadowaki (2015), Event - based distributed clock synchronization for wireless sensor networks, IEEE Trans Autom Control, 60, 2266, doi.org/10.1109/TAC.2014.2372932 ; Cheng (2016), On convergence rate of leader - following consensus of linear multi - agent systems with communication noises, IEEE Trans Autom Control, 61, 3586, doi.org/10.1109/TAC.2016.2522647 ; Ratajczak (2016), Trajectory reproduction and trajectory tracking problem for the nonholonomic systems, Bull Pol Tech, 64, 63. ; Qian (2015), Leader - followerbased formation control of nonholonomic mobile robots with mismatched uncertainties via integral sliding mode Part, Proc Inst Mech Eng Syst Control Eng, 229, 559. ; Liu (2014), Distributed nonlinear control of mobile autonomous multi - agents, Automatica, 50, 1075, doi.org/10.1016/j.automatica.2014.02.023 ; Zhang (2015), Ultra - fast formation control of high - order discrete - time multi - agent systems based on multistep predictive mechanism, ISA Trans, 165, doi.org/10.1016/j.isatra.2015.05.008 ; Sun (2012), Robust adaptive integral - slidingmode fault - tolerant control for airbreathing hypersonic vehicles Part, Proc Inst Mech Eng Syst Control Eng, 226, 1344. ; Xu (2015), Continuous sliding mode controller with disturbance observer for hypersonic vehicles CAA, IEEE Autom Sinica, 2, 45, doi.org/10.1109/JAS.2015.7032905 ; Kim (2015), Disturbance - observer - based PD control of flexible joint robots for asymptotic convergence, IEEE Trans Robot, 31, 1508, doi.org/10.1109/TRO.2015.2477957 ; Zou (2013), Distributed consensus control for multi - agent systems using terminal sliding mode and Chebyshev neural networks Robust Nonlinear Control, Int J, 23, 334. ; Biglarbegian (2013), A novel robust leader - following control design for mobile robots, Intell Robot Syst, 391, doi.org/10.1007/s10846-012-9795-1 ; Cheng (2016), Containment control of multi - agent systems with dynamic leaders based on a PIn - type approach, IEEE Trans, 46, 3004. ; Byrski (2013), Asymptotic guarantee of success for multi - agent memetic systems, Bull Pol Tech, 61, 257. ; Du (2013), Finite - time formation control of multiagent systems via dynamic output feedback Robust Nonlinear Control, Int J, 23, 1609. ; Chen (2016), Disturbance - observerbased control and related methods - an overview, IEEE Trans Ind Electron, 63, 1083, doi.org/10.1109/TIE.2015.2478397 ; Gazi (2007), Aggregation foraging and formation control of swarms with non - holonomic agents using potential functions and sliding mode techniques, Turk Electr Eng Comput Sci, 15, 149.