Distributed Hybrid Gradient Algorithm with Application to Cooperative Adaptive Estimation

Author:

Maghenem Mohamed1,Saoud Adnane2,Loria Antonio1

Affiliation:

1. CNRS, France

2. CentraleSupelec, France

Publisher

ACM

Reference31 articles.

1. K.  J. Åstrom and Bohn. 1965. Numerical identification of linear dynamic systems from normal operating records . In Proc. of the 2nd IFAC Symp. on Theory of Self-adaptive Control Systems, P. H. Hammond (Ed.). Nat. Phys. Lab., Teddington, England, 96–111 . K. J. Åstrom and Bohn. 1965. Numerical identification of linear dynamic systems from normal operating records. In Proc. of the 2nd IFAC Symp. on Theory of Self-adaptive Control Systems, P. H. Hammond (Ed.). Nat. Phys. Lab., Teddington, England, 96–111.

2. Learning for Autonomous Navigation

3. P. Bernard and R. Sanfelice. 2019. Robust Observer Design for Hybrid Dynamical Systems with Linear Maps and Approximately Known Jump Times. (Oct. 2019). https://hal.archives-ouvertes.fr/hal-02187411 working paper or preprint. P. Bernard and R. Sanfelice. 2019. Robust Observer Design for Hybrid Dynamical Systems with Linear Maps and Approximately Known Jump Times. (Oct. 2019). https://hal.archives-ouvertes.fr/hal-02187411 working paper or preprint.

4. Surveys in Applied Economics: Models of Consumer Behaviour

5. Distributed Cooperative Adaptive Identification and Control for a Group of Continuous-Time Systems With a Cooperative PE Condition via Consensus

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1. Distributed adaptive parameter estimation over weakly connected digraphs using a relaxed excitation condition;International Journal of Adaptive Control and Signal Processing;2024-04-26

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