Showing papers in "Acta Automatica Sinica in 2009"

TL;DR: The state-of-art of the existing data-driven control methods are presented with appropriate classifications and insights, and the differences among these methods and the application scopes are also highlighted.

TL;DR: The state-of-art of the existing data-driven control methods are presented with appropriate classifications and insights, and the differences among these methods and the application scopes are also highlighted.

TL;DR: In this article, a stereo matching algorithm based on inter-regional cooperative optimization is presented, which uses regions as matching primitives and defines the corresponding region cost functions for matching by utilizing the color statistics of regions and the constraints on smoothness and occlusion between adjacent regions.

TL;DR: In this paper, a robust adaptive state feedback controller is proposed to solve the robust fault-tolerant compensation control problem for linear time-invariant continuous-time systems with actuator failures and external disturbances.

TL;DR: In this paper, the authors present a selected survey covering the advances of fault diagnosis and fault tolerant control using data-driven techniques, and discuss the widely used data driven and knowledge-based techniques.

TL;DR: In this article, the authors present several considerations centered around the data-driven system approaches and explore possible directions that may offer alternatives or potentials for the four key fields of interests: control, decision making, scheduling, and fault diagnosis.

TL;DR: In this article, a new fault diagnosis approach based on total projection to latent structures (T-PLS) is discussed, and definitions of variable contributions to all statistics are derived to identify the faults.

TL;DR: The proposed Gabor wavelets and support vector machine (SVM)-based framework for object recognition has been successfully applied to two object recognition applications, i.e., object/non-object classification and face recognition.

TL;DR: In this article, a robust model predictive control (MPC) method for constrained polyhedral uncertain systems is presented, where a series of feedback control laws are designed to achieve large feasible region and high control performance.

TL;DR: In this article, a hybrid intelligent control method for process optimal operation is proposed, which controls the technique indices into the desired ranges by on-line adjusting the setpoints of the control loops according to the operation condition, enabling the control system to track the adjusted set-points.

TL;DR: A novel classification framework is proposed, which divides fault diagnosis approaches into two classes: qualitative analysis approaches and quantitative analysis approaches, with emphasis on the data-driven approaches.

TL;DR: In this paper, a delay-dependent robust robust H∞ control for uncertain singular systems with state delay is proposed, which guarantees that, for all admissible uncertainties, the resultant closed-loop system is regular, impulse free, and stable with an H ∞ norm bound constraint.

TL;DR: In this paper, the problem of designing H∞ controllers for networked control systems (NCSs) with both network-induced time delay and packet dropout by using an active-varying sampling period method was studied.

TL;DR: In this paper, a new discrete-time adaptive iterative learning control (AILC) approach is developed to address a class of nonlinear systems with time-varying parametric uncertainties.

TL;DR: In this article, the problem of H ∞ control for two-dimensional (2-D) discrete state delay systems described by the second Fornasini and Marchesini (FM) state-space model is addressed.

TL;DR: In this paper, a fast adaptive fault estimation (FAFE) algorithm based on adaptive observer is first proposed to enhance the performance of fault estimation including rapidity and accuracy, while a delay-dependent criterion is established to reduce the conservatism of design procedures especially for small delay systems.

TL;DR: In this paper, improved delay-dependent robust stability criteria of uncertain stochastic systems with interval time-varying delay are proposed without ignoring any terms by considering the relationship among the time-variate delay, its upper bound, and their difference, and using both Ito's differential formula and Lyapunov stability theory.

TL;DR: In this article, a fast adaptive fault estimation (FAFE) algorithm based on adaptive observer is first proposed to enhance the performance of fault estimation including rapidity and accuracy, while a delay-dependent criterion is established to reduce the conservatism of design procedures especially for small delay systems.

TL;DR: In this article, an iterative adaptive critic design (ACD) algorithm is proposed to solve a class of discrete-time two-person zero-sum games for Roesser type 2-D system.

TL;DR: In this article, a non-fragile H∞ filtering for a class of linear systems described by delta operator with circular region pole constraints is investigated, and a sufficient condition for the existence of such a filter is obtained by using appropriate Lyapunov function and linear matrix inequality (LMI) technique.

TL;DR: Instead of the earlier-presented asymptotical convergence, global exponential convergence could be proved for such a class of neural networks and superior convergencecould be achieved using power-sigmoid activation-functions, compared with using linear activation-Functions.

TL;DR: An improved algorithm based on the conditional independence test and ant colony optimization is proposed, which is effective and efficient in large scale databases, and greatly enhances convergence speed compared to the original algorithm.