Over the last few decades, the intelligent control methods such as fuzzy logic control (FLC)
and neural network (NN) control have been successfully used in various applications. The …

A key open question in adaptive estimator design is how to assure that the parameters of the
proposed algorithms are converging to their almost correct solutions; hence, the learning …

A decentralized adaptive synchronization problem for a simple yet nontrivial discrete-time
stochastic model of network dynamics is investigated, which also illustrates a general …

This paper addresses the challenging problem of designing an adaptive feedback strategy
for simultaneous identification and stabilization for a class of nonlinearly parameterized …

This paper addresses the actuator failure compensation problem of non-linear four-wheel-
steering mobile robots based on vehicle kinematics, undergoing both known and unknown …

Kalman filtering techniques have been widely used in many applications, however, standard
Kalman filters for linear Gaussian systems usually cannot work well or even diverge in the …

Finite-model adaptive control problem is studied for a class of discrete-time nonlinear
uncertain systems. This problem was motivated by recent efforts on the capability and …

Adaptive control problem of a class of discrete‐time nonlinear uncertain systems, of which
the internal uncertainty can be characterized by a finite set of functions, is formulated and …

For a class of discrete‐time multi‐variable systems with time‐varying parametric uncertainty,
the parameter identification method and switching control architecture are developed in this …

卡尔曼滤波技术在很多领域已得到广泛的应用, 标准卡尔曼滤波算法是基于线性高斯系统模型
假设, 需要已知精确的系统模型. 当系统模型存在较大不确定性时, 运用基于不精确系统模型设计 …