Cooperative Vehicle Environmental Monitoring References 455
Part B | 19
19.24
J.F. Grassle, S.M. Glenn, C. Von Alt: Ocean observing systems for marine habitats, Proc. MTS
OCC (Marine Technology Society, Washington 1998)
pp. 567–570
19.25
S.M. Glenn, T.D. Dickey, B. Parker, W. Boicourt:
Long-term real-time coastal ocean observation
networks, Oceanography 13(1), 24–34 (2000)
19.26
O. Schofield, T. Bergmann, P. Bissett, J.F. Grassle,
D.B. Haidvogel, J. Kohut, S.M. Glenn: The
long-term ecosystem observatory: An integrated
coastal observatory, IEEE-JOE 27, 146–154 (2002)
19.27
J.S. Albus, D.R. Blidberg: Control system architecture for multiple autonomous undersea vehicles
(MAUV), Proc. 5th UUST (Autonomous Undersea
Systems Institute, Lee 1987)
19.28
R.M. Turner, J.S. Fox, E.H. Turner, D.H. Blidberg: Multiple autonomous vehicle imagin systems (MAVIS), Proc. 6th UUST (Autonomous Undersea Systems Institute, Lee 1988) pp. 526–536
19.29
M.S. Triantafyllou, K. Streitlien: Distributed control of multiple AUV’s forming effective chains,
Proc. 7th UUST (Autonomous Undersea Systems Institute, Lee 1991) pp. 499–518
19.30
H. Singh, J. Catipovic, R. Eastwood, L. Freitag,
H. Henriksen, F. Hover, D. Yoerger, J.G. Bellingham, B.A. Moran: An integrated approach to
multiple AUV communications, navigation, and
docking, Proc. IEEE OCEANS‘96 (1996) pp. 59–64
19.31
H. Schmidt, J.G. Bellingham, M. Johnson,
D. Herold, D.M. Farmer, R. Pawlowicz: Real-time
frontal mapping with AUVs in a coast environment, Proc. IEEE OCEANS‘96, Vol. 3 (1996)
pp. 1094–1098
19.32
D.J. Stilwell, B.E. Bishop: Platoons of underwater
vehicles: Communication, feedback and decentralized control, IEEE Control Syst. Mag. 20(6),
45–52 (2000)
19.33
B. Schulz, B. Hobson, M. Kemp, J. Meyer: Field results of multi-UUV missions using Ranger microUUVs, Proc. IEEE OCEANS‘03, Vol. 2 (2003) pp. 956–
961
19.34
Y.U. Cao, A.S. Fukunaga, A.B. Kahng: Cooperative
mobile robotics: Antecedents and directions, Auton. Robots 4, 1–23 (1997)
19.35
T. Fukuda, S. Nakagawa: A dynamically reconfigurable robotic system, Proc. IEEE ICRA‘87, Vol. 3
(1987) pp. 588–595
19.36
G. Beni: The concept of cellular robotic system,
Proc. IEEE ISIC (1988) pp. 57–62
19.37
M.J. Mataric: Distributed approaches to behavior
control, Proc. SPIE 1828 1992) pp. 373–382
19.38
L.E. Parker: Adaptive action selection for cooperative agent teams, 2nd Int. Conf. Simul. of Adapt.
Behav. (MIT, Cambridge 1992) pp. 442–450
19.39
R. Beckers, O.E. Holland, J.L. Deneubourg: From
local actions to global tasks: Stigmergy and
collective robotics. In: Prerational Intelligence:
Studies in Cognitive Systems, Vol. 26, ed. by
H. Crise, J. Dean, H. Ritter (Springer, Dordrecht
2000) pp. 1008–1022
19.40
M.J. Mataric: Designing emergent behaviors: From
local interactions to collective intelligence, 2nd
Int. Conf. Simul. of Adapt. Behav. (MIT, Cambridge
1992) pp. 432–441
19.41
D. Estrin, R. Govindan, J. Heidemann, S. Kumar:
Next century challenges: Scalable coordination in
sensor networks, Proc. ACM/IEEE MobiCom (1999)
pp. 263–270
19.42
A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton,
J. Zhao: Habitat monitoring: Application driver for
wireless communications technology, ACM SIGCOMM Workshop Data Commun. Latin America
Caribb., Vol. 31 (2001) pp. 20–41
19.43
I.F. Akyildiz, W. Su, Y. Sankarasubramaniam,
E. Cayirci: Wireless sensor networks: A survey,
Comput. Netw. 38, 393–422 (2002)
19.44
R. Cardell-Oliver, K. Smetten, M. Kranz, K. Mayer:
Field testing a wireless sensor network for reactive environmental monitoring, Proc. IEEE ISSNIP
(2004) pp. 14–17
19.45
F.P. Bretherton, R.E. Davis, C.B. Fandry: A technique for objective analysis and design of
oceanographic experiments applied to MODE-73,
Deep-Sea Res. 23(7), 559–582 (1976)
19.46
A.R. Robinson, L.S. Gandin: Objective analysis
of meteorological fields, Q. J. R. Meteorol. Soc.
92(393), 447 (1966)
19.47
A.R. Robinson, S.M. Glenn: Adaptive sampling
for ocean forecasting, Nav. Res. Rev. 51(2), 28–38
(1999)
19.48
J.S. Willcox, J.G. Bellingham, Y. Zhang, A.B. Baggeroer: Performance metrics for oceanographic
surveys with autonomous underwater vehicles,
IEEE-JOE 26(4), 711–725 (2001)
19.49
J.G. Bellingham, Y. Zhang: Observing processes
that vary in time and space with heterogeneous mobile networks, Proc. Int. Workshop Underw. Robotics Sustain. Manag. Mar. Ecosyst. Environ. Monit. (Plus-Pisa University Press, Pisa 2005)
pp. 9–16
19.50
B. Grocholsky: Information-Theoretic Control of
Multiple Sensor Platforms, Ph.D. Thesis (University of Sydney, Sydney 2002)
19.51
S. Kumar, J.H. Seinfeld: Optimal location of
measurements for distributed parameter estimation, IEEE Trans. Autom. Control 23(4), 690–698
(1978)
19.52
D. Uciński: Optimal sensor location for parameter
estimation of distributed processes, Int. J. Control
73(13), 1235–1248 (2000)
19.53
C.R. McInnes: Potential function methods for autonomous spacecraft guidance and control, Adv.
Astronaut. Sci. 90, 2093–2109 (1996)
19.54
P.S. Krishnaprasad: Relative equilibria and stability of rings of satellites, Proc. 39th IEEE CDC (2000)
pp. 1285–1288
19.55
N.E. Leonard, E. Fiorelli: Virtual leaders, artificial potentials and coordinated control of groups,
Proc. 40th IEEE CDC (2001) pp. 2968–2973
19.56
P. Ögren, M. Egerstedt, X. Hu: A control Lyapunov
function approach to multi-agent coordination,
IEEE Trans. Robotics Autom. 18, 847–851 (2002)
19.57
R. Olfati-Saber, R.M. Murray: Distributed cooperative control of multiple vehicle formations us-
Part B | 19
19.24
J.F. Grassle, S.M. Glenn, C. Von Alt: Ocean observing systems for marine habitats, Proc. MTS
OCC (Marine Technology Society, Washington 1998)
pp. 567–570
19.25
S.M. Glenn, T.D. Dickey, B. Parker, W. Boicourt:
Long-term real-time coastal ocean observation
networks, Oceanography 13(1), 24–34 (2000)
19.26
O. Schofield, T. Bergmann, P. Bissett, J.F. Grassle,
D.B. Haidvogel, J. Kohut, S.M. Glenn: The
long-term ecosystem observatory: An integrated
coastal observatory, IEEE-JOE 27, 146–154 (2002)
19.27
J.S. Albus, D.R. Blidberg: Control system architecture for multiple autonomous undersea vehicles
(MAUV), Proc. 5th UUST (Autonomous Undersea
Systems Institute, Lee 1987)
19.28
R.M. Turner, J.S. Fox, E.H. Turner, D.H. Blidberg: Multiple autonomous vehicle imagin systems (MAVIS), Proc. 6th UUST (Autonomous Undersea Systems Institute, Lee 1988) pp. 526–536
19.29
M.S. Triantafyllou, K. Streitlien: Distributed control of multiple AUV’s forming effective chains,
Proc. 7th UUST (Autonomous Undersea Systems Institute, Lee 1991) pp. 499–518
19.30
H. Singh, J. Catipovic, R. Eastwood, L. Freitag,
H. Henriksen, F. Hover, D. Yoerger, J.G. Bellingham, B.A. Moran: An integrated approach to
multiple AUV communications, navigation, and
docking, Proc. IEEE OCEANS‘96 (1996) pp. 59–64
19.31
H. Schmidt, J.G. Bellingham, M. Johnson,
D. Herold, D.M. Farmer, R. Pawlowicz: Real-time
frontal mapping with AUVs in a coast environment, Proc. IEEE OCEANS‘96, Vol. 3 (1996)
pp. 1094–1098
19.32
D.J. Stilwell, B.E. Bishop: Platoons of underwater
vehicles: Communication, feedback and decentralized control, IEEE Control Syst. Mag. 20(6),
45–52 (2000)
19.33
B. Schulz, B. Hobson, M. Kemp, J. Meyer: Field results of multi-UUV missions using Ranger microUUVs, Proc. IEEE OCEANS‘03, Vol. 2 (2003) pp. 956–
961
19.34
Y.U. Cao, A.S. Fukunaga, A.B. Kahng: Cooperative
mobile robotics: Antecedents and directions, Auton. Robots 4, 1–23 (1997)
19.35
T. Fukuda, S. Nakagawa: A dynamically reconfigurable robotic system, Proc. IEEE ICRA‘87, Vol. 3
(1987) pp. 588–595
19.36
G. Beni: The concept of cellular robotic system,
Proc. IEEE ISIC (1988) pp. 57–62
19.37
M.J. Mataric: Distributed approaches to behavior
control, Proc. SPIE 1828 1992) pp. 373–382
19.38
L.E. Parker: Adaptive action selection for cooperative agent teams, 2nd Int. Conf. Simul. of Adapt.
Behav. (MIT, Cambridge 1992) pp. 442–450
19.39
R. Beckers, O.E. Holland, J.L. Deneubourg: From
local actions to global tasks: Stigmergy and
collective robotics. In: Prerational Intelligence:
Studies in Cognitive Systems, Vol. 26, ed. by
H. Crise, J. Dean, H. Ritter (Springer, Dordrecht
2000) pp. 1008–1022
19.40
M.J. Mataric: Designing emergent behaviors: From
local interactions to collective intelligence, 2nd
Int. Conf. Simul. of Adapt. Behav. (MIT, Cambridge
1992) pp. 432–441
19.41
D. Estrin, R. Govindan, J. Heidemann, S. Kumar:
Next century challenges: Scalable coordination in
sensor networks, Proc. ACM/IEEE MobiCom (1999)
pp. 263–270
19.42
A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton,
J. Zhao: Habitat monitoring: Application driver for
wireless communications technology, ACM SIGCOMM Workshop Data Commun. Latin America
Caribb., Vol. 31 (2001) pp. 20–41
19.43
I.F. Akyildiz, W. Su, Y. Sankarasubramaniam,
E. Cayirci: Wireless sensor networks: A survey,
Comput. Netw. 38, 393–422 (2002)
19.44
R. Cardell-Oliver, K. Smetten, M. Kranz, K. Mayer:
Field testing a wireless sensor network for reactive environmental monitoring, Proc. IEEE ISSNIP
(2004) pp. 14–17
19.45
F.P. Bretherton, R.E. Davis, C.B. Fandry: A technique for objective analysis and design of
oceanographic experiments applied to MODE-73,
Deep-Sea Res. 23(7), 559–582 (1976)
19.46
A.R. Robinson, L.S. Gandin: Objective analysis
of meteorological fields, Q. J. R. Meteorol. Soc.
92(393), 447 (1966)
19.47
A.R. Robinson, S.M. Glenn: Adaptive sampling
for ocean forecasting, Nav. Res. Rev. 51(2), 28–38
(1999)
19.48
J.S. Willcox, J.G. Bellingham, Y. Zhang, A.B. Baggeroer: Performance metrics for oceanographic
surveys with autonomous underwater vehicles,
IEEE-JOE 26(4), 711–725 (2001)
19.49
J.G. Bellingham, Y. Zhang: Observing processes
that vary in time and space with heterogeneous mobile networks, Proc. Int. Workshop Underw. Robotics Sustain. Manag. Mar. Ecosyst. Environ. Monit. (Plus-Pisa University Press, Pisa 2005)
pp. 9–16
19.50
B. Grocholsky: Information-Theoretic Control of
Multiple Sensor Platforms, Ph.D. Thesis (University of Sydney, Sydney 2002)
19.51
S. Kumar, J.H. Seinfeld: Optimal location of
measurements for distributed parameter estimation, IEEE Trans. Autom. Control 23(4), 690–698
(1978)
19.52
D. Uciński: Optimal sensor location for parameter
estimation of distributed processes, Int. J. Control
73(13), 1235–1248 (2000)
19.53
C.R. McInnes: Potential function methods for autonomous spacecraft guidance and control, Adv.
Astronaut. Sci. 90, 2093–2109 (1996)
19.54
P.S. Krishnaprasad: Relative equilibria and stability of rings of satellites, Proc. 39th IEEE CDC (2000)
pp. 1285–1288
19.55
N.E. Leonard, E. Fiorelli: Virtual leaders, artificial potentials and coordinated control of groups,
Proc. 40th IEEE CDC (2001) pp. 2968–2973
19.56
P. Ögren, M. Egerstedt, X. Hu: A control Lyapunov
function approach to multi-agent coordination,
IEEE Trans. Robotics Autom. 18, 847–851 (2002)
19.57
R. Olfati-Saber, R.M. Murray: Distributed cooperative control of multiple vehicle formations us-