In this paper, a design method of decentralized robust model-following controllers giving consideration to transient behavior for uncertain large-scale serially connected systems via piecewise Lyapunov functions is proposed. The proposed decen-tralized control law consists of state feedback laws, compensation inputs and uniformly continuous functions. In our approach, by introducing the uniformly continuous function, chattering phenomenon in the control input is avoided. In this paper, we show that a sufficient condition for the existence of the proposed decentralized robust model-following controller is given in terms of LMIs (Linear Matrix Inequalities).

This paper deals with a design method of adaptive robust preview controllers for uncertain discrete-time multi-agent systems with leader-follower structures. The proposed control law consists of state feedback laws with fixed gains, a compensation input with adjustable parameters. In this paper, we show that sufficient conditions for the existence of the proposed formation control system are given in terms of linear matrix inequalities (LMIs), and a simple numerical example is included.

This paper proposes a design method of robust dynamic output feedback controllers for uncertain switched affine systems. The proposed controller consists of a switching rule and a dynamic output feedback controller with the adjustable parameters tuned by updating laws. In this paper, we show that sufficient conditions for the existence of the proposed robust control system are given in terms of linear matrix inequalities (LMIs). Finally, a simple numerical example is included.

This paper deals with a design problem for a new event-trigger-based variable gain controller which achieves consensus for multi-agent systems (MASs) with the leader-follower structure. The proposed variable gain controller consists of stabilizing state feedback laws, state feedback inputs for consensus, and compensation inputs with adjustable parameters, and is designed by taking relative positions into account explicitly. In this paper, we show that sufficient conditions for the existence of the proposed formation control system are given in terms of Linear Matrix Inequalities (LMIs).

In this paper, we analyze body surface temperature data of cows, and detect for the calving phase of cows. Firstly, appropriate preprocessing is applied to waveforms for analysis. Specifically, the waveform to be analyzed is extracted from the cow's body surface temperature data, and next outlier in the body surface temperature data is removed. Secondly approximate waveforms based on Fourier series expansion are generated. Additionally, a nominal waveform which does not correspond to calving phase is reconstructed, and feature parameters are extracted from the nominal waveform. Finally, by using the Mahalanobis distance, the proposed detect system for calving phase is developed. Furthermore, the extraction range of the waveform to be analyzed is discussed, and we show the effectiveness of the proposed detection system.

This paper deals with a design problem of adaptive gain robust controllers for polytopic uncertain systems with unknown dead-zone nonlinearities for inputs. The parameters for dead-zone characteristics are assumed to be unknown. In order to reduce the effect for dead-zone nonlinearities, an adaptive dead-zone inverse method is utilized and a compensation input for uncertainties are introduced. In this paper, sufficient conditions for the existence of the proposed adaptive gain robust controller are shown. Moreover, a numerical example is given to demonstrate the effectiveness of the proposed adaptive gain robust controller.

For a class of uncertain large-scale interconnected systems, a design method of decentralized variable gain robust controllers with guaranteed ${\mathcal{L}_{{2}}}$ gain performance based on piecewise Lyapunov functions is shown in this paper. Furthermore, LMI-based sufficient conditions for the existence of the proposed decentralized variable gain robust controller are shown. Finally, the effectiveness of the proposed robust controller is presented through a simple numerical example.

The aim of this paper is development of a new recognition system based on a Support Vector Machine (SVM) for serious arrhythmias such as Ventricular Fibrillation (VF) and Ventricular Tachycardia (VT). In order to develop the proposed SVM-based detection system, feature parameters for shockable/non-shockable Electrocardiograms (ECGs) are extracted. Moreover by using the extracted feature parameters, the proposed SVM-based recognition system is constructed. In addition, the achievable performance of the proposed recognition system is evaluated.

This paper proposes a point memory-based adaptive gain robust controller with L2gain performance for a class of uncertain linear systems with state delays. The point memory adaptive gain robust controller presented in this paper consists of a fixed gain controller and a adaptive gain one. In this paper, we show that LMI-based sufficient conditions for the existence of the proposed adaptive gain robust controller are presented. Finally, a simple illustrative example is included to show the effectiveness of the proposed robust control system.

In this paper, we propose an LMI-based design method of a variable gain robust controller giving consideration to nominal L2 gain performance and allowable uncertainty region for a class of uncertain linear systems. The proposed robust controller consists of a fixed gain designed by considering guaranteed L2 gain performance for the nominal system and an adjustable parameter tuned by adjustment laws. Moreover, the sufficient condition for the existence of the proposed variable gain robust controller is given in terms of linear matrix inequalities (LMIs). Finally, we present a numerical example.

This paper proposes a new recognition algorithm for shockable arrhythmias for patients suffering from sudden cardiac arrest. In this paper, by using gabor wavelet transform (GWT), useful and effective spectrum features for electrocardiogram (ECG) are extracted. The proposed recognition algorithm based on spectrum features can achieve good performance comparing with the existing results, i.e. the result of this paper is useful.

In this paper, we consider the design problem of a decentralized variable gain robust controller that provides practical tracking for a class of large-scale interconnected systems with mismatched uncertainties. Furthermore, we show that sufficient conditions for the existence of the proposed decentralized variable gain robust controller are reduced to the feasibility of linear matrix inequalities. Finally, we present a simple numerical example to demonstrate the effectiveness of the proposed decentralized robust control system.

In this paper, we present a new variable gain controller for a class of uncertain linear systems via piecewise Lyapunov functions. The proposed variable gain controller is designed so as to reduce the effect of uncertainties and achieves good transient performance which is close to desired trajectory. In this paper, on the basis of the concept of piecewise Lyapunov functions, we show new LMI conditions for the existence of the proposed variable gain controller for uncertain linear systems. The proposed LMI conditions are useful, because the LMI conditions are less conservative comparing with the existing results. Finally, numerical examples are presented.