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TFS
2008
94views more  TFS 2008»
13 years 7 months ago
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling
Abstract--Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good ...
Wen Yu, Floriberto Ortiz Rodriguez, Marco A. Moren...
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
13 years 2 months ago
Achieving higher frequencies in large-scale nonlinear model predictive control
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
Victor M. Zavala, Mihai Anitescu
IJRR
2011
123views more  IJRR 2011»
13 years 2 months ago
Stable dynamic walking over uneven terrain
We propose a constructive control design for stabilization of non-periodic trajectories of underactuated robots. An important example of such a system is an underactuated “dynam...
Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ T...
AUTOMATICA
2004
110views more  AUTOMATICA 2004»
13 years 7 months ago
Robust adaptive control of a class of nonlinear systems with unknown dead-zone
This paper deals with the adaptive control of a class of continuous-time nonlinear dynamic systems preceded by an unknown dead-zone. By using a new description of a dead-zone and ...
Xing-Song Wang, Chun-Yi Su, Henry Hong
ISCAS
2006
IEEE
186views Hardware» more  ISCAS 2006»
14 years 1 months ago
Adaptive sliding mode control using simple adaptive control for SISO nonlinear systems
—Sliding mode control (SMC) has a strong capability of controlling nonlinear systems with uncertainties. However, it requires thorough knowledge of parameters and dynamics of the...
Muhammad Yasser, Agus Trisanto, Jianming Lu, Hiroo...