This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time Takagi–Sugeno (T–S) fuzzy …
This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time TakagiSugeno (TS) fuzzy systems …
This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time TakagiSugeno (TS) fuzzy systems …
This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time Takagi-Sugeno (TS) fuzzy systems …
Approaches to extended non-quadratic stability and stabilization conditions for discrete-time Takagi–Sugeno fuzzy systems | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …
DH Lee, JB Park, YH Joo - Automatica (Journal of IFAC), 2011 - dl.acm.org
This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time Takagi-Sugeno (TS) fuzzy systems …
Approaches to extended non-quadratic stability and stabilization conditions for discrete-time Takagi―Sugeno fuzzy systems CNRS Inist Pascal-Francis CNRS Pascal and Francis …
[引用][C]Approaches to extended non-quadratic stability and stabilization conditions for discrete-time Takagi―Sugeno fuzzy systems