TY - JOUR
T1 - DISTRIBUTED OUTPUT FEEDBACK INDIRECT MRAC OF CONTINUOUS-TIME MULTIAGENT LINEAR SYSTEMS
AU - Guo, Jian
AU - Zhang, Yanjun
AU - Zhang, Ji Feng
N1 - Publisher Copyright:
© 2025 Society for Industrial and Applied Mathematics.
PY - 2025
Y1 - 2025
N2 - This paper studies the distributed leader-follower output consensus problem for continuous-time uncertain multiagent linear systems with general input-output forms. Specifically, we extend the well-known output feedback indirect model reference adaptive control (MRAC) and develop a fully distributed output feedback indirect MRAC scheme to achieve closed-loop stability and asymptotic leader-follower output consensus. Compared with the existing results, the proposed distributed MRAC scheme has the following characteristics. First, the orders of each agent's pole/zero polynomials, including the followers and the leader, can differ from others, and the parameters in each follower's pole/zero polynomials are unknown. Second, the proposed adaptive control law of each follower solely relies on the local input and output information without requiring the state observer and the structural matching condition on the followers' dynamics, commonly used in the literature. Third, for any given leader with a relative degree n*, the leader-follower output tracking error and its derivatives up to the n*th order converge to zero asymptotically, which has never been reported in the literature. Finally, a simulation example verifies the validity of the proposed distributed MRAC scheme.
AB - This paper studies the distributed leader-follower output consensus problem for continuous-time uncertain multiagent linear systems with general input-output forms. Specifically, we extend the well-known output feedback indirect model reference adaptive control (MRAC) and develop a fully distributed output feedback indirect MRAC scheme to achieve closed-loop stability and asymptotic leader-follower output consensus. Compared with the existing results, the proposed distributed MRAC scheme has the following characteristics. First, the orders of each agent's pole/zero polynomials, including the followers and the leader, can differ from others, and the parameters in each follower's pole/zero polynomials are unknown. Second, the proposed adaptive control law of each follower solely relies on the local input and output information without requiring the state observer and the structural matching condition on the followers' dynamics, commonly used in the literature. Third, for any given leader with a relative degree n*, the leader-follower output tracking error and its derivatives up to the n*th order converge to zero asymptotically, which has never been reported in the literature. Finally, a simulation example verifies the validity of the proposed distributed MRAC scheme.
KW - distributed output feedback
KW - leader-follower consensus
KW - model reference adaptive control
KW - multiagent systems
UR - http://www.scopus.com/inward/record.url?scp=105005277422&partnerID=8YFLogxK
U2 - 10.1137/23M1620107
DO - 10.1137/23M1620107
M3 - Article
AN - SCOPUS:105005277422
SN - 0363-0129
VL - 63
SP - 1616
EP - 1640
JO - SIAM Journal on Control and Optimization
JF - SIAM Journal on Control and Optimization
IS - 3
ER -