Near optimal interval observers bundle for uncertain bioreactors
In this paper we design an interval observer for the estimation of unmeasured variables of
uncertain bioreactors. The observer is based on a bounded error observer, as proposed in …
uncertain bioreactors. The observer is based on a bounded error observer, as proposed in …
Security control for LPV system with deception attacks via model predictive control: A dynamic output feedback approach
J Wang, B Ding, J Hu - IEEE Transactions on Automatic Control, 2020 - ieeexplore.ieee.org
This article considers security control under the network environment for a system with
deception attacks, polytopic uncertainty, and persistent bounded disturbance. Since the …
deception attacks, polytopic uncertainty, and persistent bounded disturbance. Since the …
Constrained robust model predictive control via parameter-dependent dynamic output feedback
B Ding - Automatica, 2010 - Elsevier
This paper considers output feedback robust model predictive control for the quasi-linear
parameter varying (quasi-LPV) system with bounded disturbance. The so-called quasi-LPV …
parameter varying (quasi-LPV) system with bounded disturbance. The so-called quasi-LPV …
Output feedback model predictive control of interval type-2 T–S fuzzy system with bounded disturbance
X Ping, W Pedrycz - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
In this paper, the problem of output feedback model predictive control (MPC) for interval
Type-2 Takagi-Sugeno fuzzy systems with bounded disturbance is investigated. The output …
Type-2 Takagi-Sugeno fuzzy systems with bounded disturbance is investigated. The output …
Dynamic output feedback predictive control for nonlinear systems represented by a Takagi–Sugeno model
B Ding - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
This paper addresses the output feedback predictive control for a Takagi-Sugeno (TS) fuzzy
system with bounded noise. The controller optimizes an infinite-horizon objective function …
system with bounded noise. The controller optimizes an infinite-horizon objective function …
A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems
This paper proposes an approach for the joint state and fault estimation for a class of
uncertain nonlinear systems with simultaneous unknown input and actuator faults. This is …
uncertain nonlinear systems with simultaneous unknown input and actuator faults. This is …
Safe and robust data‐driven cooperative control policy for mixed vehicle platoons
This article considers mixed platoons consisting of both human‐driven vehicles (HVs) and
automated vehicles (AVs). The uncertainties and randomness in human driving behaviors …
automated vehicles (AVs). The uncertainties and randomness in human driving behaviors …
Output feedback robust MPC for LPV system with polytopic model parametric uncertainty and bounded disturbance
B Ding, H Pan - International Journal of Control, 2016 - Taylor & Francis
The output feedback robust model predictive control (MPC), for the linear parameter varying
(LPV) system with norm-bounded disturbance, is addressed, where the model parametric …
(LPV) system with norm-bounded disturbance, is addressed, where the model parametric …
Dynamic output feedback-predictive control of a Takagi–Sugeno model with bounded disturbance
B Ding, H Pan - IEEE Transactions on Fuzzy Systems, 2016 - ieeexplore.ieee.org
This paper considers predictive control of a Takagi-Sugeno fuzzy model with bounded
disturbance, strictly satisfying the input and state constraints. The membership-function …
disturbance, strictly satisfying the input and state constraints. The membership-function …
A survey of output feedback robust MPC for linear parameter varying systems
For constrained linear parameter varying (LPV) systems, this survey comprehensively
reviews the literatures on output feedback robust model predictive control (OFRMPC) over …
reviews the literatures on output feedback robust model predictive control (OFRMPC) over …