Encryption-decryption-based set-membership filtering for two-dimensional systems: on security and boundedness
In this paper, the encryption-decryption-based set-membership filtering issue is considered
for a class of networked two-dimensional systems with unknown-but-bounded noises. In …
for a class of networked two-dimensional systems with unknown-but-bounded noises. In …
Performance assessment for batch processes under ILC based on 2-D Fornasini-Marchesini model
H Zhang, Y Wang - 2016 35th Chinese Control Conference …, 2016 - ieeexplore.ieee.org
By using two-dimensional (2-D) system theory, a control performance assessment method is
proposed in this study for batch processes controlled by iterative learning control (ILC). First …
proposed in this study for batch processes controlled by iterative learning control (ILC). First …
Models for distributed computing in grid sensor networks
B Sumanasena, PH Bauer - International Symposium on Distributed …, 2011 - Springer
Using local state space models, a method for distributed information processing in
rectangular grid sensor networks is presented. Non-linear systems and signal processing …
rectangular grid sensor networks is presented. Non-linear systems and signal processing …
[图书][B] A multidimensional systems approach to grid sensor networks
MGB Sumanasena - 2012 - search.proquest.com
A method for distributed information processing in rectangular grid based wireless sensor
networks is presented, employing the Givone-Roesser and the Fornasini-Marchesini state …
networks is presented, employing the Givone-Roesser and the Fornasini-Marchesini state …
A Multidimensional Systems Approach to Grid Sensor NetworksNETWORKS
M Gamage Buddika Sumanasena - 2012 - curate.nd.edu
A method for distributed information processing in rectangular grid based wireless sensor
networks is presented, employing the Givone-Roesser and the Fornasini-Marchesini state …
networks is presented, employing the Givone-Roesser and the Fornasini-Marchesini state …
[引用][C] A Multidimensional Systems Approach to Grid Sensor Networks NETWORKS
MGB Sumanasena - 2011