We present a 1000-word continuous speech recognition (CSR) system that operates in real time on a personal computer (PC). The system, designed for large vocabulary natural language tasks, makes use of phonetic Hidden Markov models (HMM) and incorporates acoustic, phonetic, and linguistic sources of knowledge to achieve high recognition performance. We describe the various components of this sys...

In this paper, a new active control framework is developed for non-LTI continuous-time system, which is closer to the real world. Like other control system developments, it consists of two major parts: observer design and controller design. For the observer, the dynamic system is modelled as a jump Markov linear system whose parameters evolve along with the running mode of plant, then the conti...

measurement of the stroke volume and its changes over time can be very helpful for diagnosis of dysfunctions in the blood circulatory system and monitoring their treatments. impedance cardiography (icg) is a simple method of measuring the stroke volume based on changes in the instantaneous mean impedanceof the thorax. this method has received much attention in the last two decades because it is...

Cigarette smoking is a major global public health issue and the leading cause of preventable death in the United States. Toward a goal of designing better smoking cessation treatments, system identification techniques are applied to intervention data to describe smoking cessation as a process of behavior change. System identification problems that draw from two modeling paradigms in quantitativ...

Chronic diseases, such as heart disease, stroke, chronic respiratory disease and diabetes are the leading cause of mortality in the world. In this paper, we introduce a low cost, secure medical platform for mobile and desktop operating systems able to monitor vital parameters and predict a patient's health status. The prediction on a patient's health is made using an effective approach capable ...

Although structural constraints such as model order and time delay have been incorporated in the continuous time system identification since its origin, the constraints on the estimated model parameters were rarely enforced. This paper proposes a continuous time system identification approach with constraints. It shows that by incorporating physical parameter information known a priori as hard ...

Uncertainty propagation and quantification has gained considerable research attention during recent years. In this paper we consider uncertainty propagation and quantification in a continuous-time dynamical system governed by ordinary differential equations with uncertain/stochastic components. Specifically, we focus on the time evolution of probability density functions of the resulting stocha...

Non linear predictive control may require signiicant oo-line and on-line computations. This paper gives a nonlinear predictive control algorithm based on successive oo-equilibrium linearisation which requires less computation whilst accounting for nonlinear system behaviour. A nonlinear example (the pendulum and cart system) is used to show that the method provides a practical tradeoo between c...

The indirect approach to continuous-time system identification consists in estimating continuous-time models by first determining an appropriate discrete-time model. For a zero-order hold sampling mechanism, this approach usually leads to a transfer function estimate with relative degree 1, independent of the relative degree of the strictly proper real system. In this paper, a refinement of the...

A predictive-maintenance structure for a gradually deteriorating single-unit system (continuous time/continuous state) is presented in this paper. The proposed decision model enables optimal inspection and replacement decision in order to balance the cost engaged by failure and unavailability on an infinite horizon. Two maintenance decision variables are considered: the preventive replacement t...