This article proposes a sampled-data adaptive fuzzy decentralized output feedback control
method for the uncertain nonstrict feedback large-scale interconnected systems whose …

This paper presents a stabilization control for positive, Takagi-Sugeno fuzzy systems subject
to Markov jump parameters. In the continuous-time formulation, the approach guarantees …

For a nonlinear system with unmodeled dynamics and output disturbances, an adaptive
neural network based control strategy is designed. For the unknown output interference, this …

This paper is concerned with the design of H∞ observers for fuzzy system with
immeasurable state variables via a new Lyapunov function. By decomposing the space of …

The problem of nonaffine time-varying nonlinear control systems is addressed in this paper
through an adaptive state-space neuro-fuzzy control scheme. It combines an eight-layered …

Dynamical models of real-world systems are uncertain at the best extent, and the controller
is usually based on an approximate model. Additional unavoidable effects, such as un …

There exist processes difficult to control because of the lack of inline sensors, as occurs in
biotechnology engineering. Commonly the sensor is expensive, damaged, or even they do …

工业生物发酵是工业生物技术规模化生产必需的基本操作单元. 对微生物细胞及其反应器进行
数学模拟将有助于加深对发酵过程的理解, 也将为新的合成生物构建提供解决策略 …

To work with nonlinear systems, the soft computing techniques are interesting alternatives;
one advantage is their capability of learning using data in a similar way to adaptive systems …

For the output feedback control problem of continuous‐time T–S fuzzy systems with
unknown premise variables, an observer–controller design method in the low‐frequency …