State-feedback control of Markov jump linear systems with hidden-Markov mode observation

نویسندگان

  • Masaki Ogura
  • Ahmet Cetinkaya
  • Tomohisa Hayakawa
  • Victor M. Preciado
چکیده

In this paper, we study state-feedback control of Markov jump linear systems with partial information. In particular, we assume that the controller can only access the mode signals according to a hidden-Markov observation process. Our formulation generalizes various relevant cases previously studied in the literature on Markov jump linear systems, such as the cases with perfect information, no information, and cluster observations of the mode signals. In this context, we propose a Linear Matrix Inequalities (LMI) formulation to design feedback control laws for (stochastic) stabilization, H2, and H∞ control of discrete-time Markov jump linear systems under hidden-Markovian observations of the mode signals. We conclude by illustrating our results with some numerical examples. Copyright c © 2010 John Wiley & Sons, Ltd.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stabilization of Jump Linear Systems with Partial Observation of Markov Mode

This paper deals with the state feedback stabilization of Markov jump linear systems. Feedback synthesis procedure proposed in this paper is Markov mode independent (or partly dependent), which makes the method superior to many other works in that it could handle the situation of partial Markov mode observation. A numerical example is given the illustrate the result.

متن کامل

Infinite-horizon Linear Optimal Control of Markov Jump Systems without Mode Observation via State Feedback

In this paper, we consider stochastic optimal control of Markov Jump Linear Systems with state feedback but without observation of the jumping parameter. The proposed control law is assumed to be linear with constant gains that can be obtained from the necessary optimality conditions using an iterative algorithm. The proposed approach is demonstrated in a numerical example.

متن کامل

Robust Output Feedback Control of Nonlinear Systems with Random Jumps

A class of control systems, modeled as a finite set of differential equations with parameters uncertainty and with sector bounded nonlinearities is considered. Each model of this family describes the individual mode (or regime) of the system. The transitions between these modes are described by a homogeneous Markov chain. At the moment of discontinuous mode change the state vector can be change...

متن کامل

Stabilization of Markov jump linear systems using quantized state feedback

This paper addresses the stabilization problem for single-input Markov jump linear systems via modedependent quantized state feedback. Given a measure of quantization coarseness, a mode-dependent logarithmic quantizer and amode-dependent linear state feedback law can achieve optimal coarseness for mean square quadratic stabilization of a Markov jump linear system, similar to existing results fo...

متن کامل

H 1 control of networked control systems based on Markov jump unified model

This paper focuses on a new H1 controller design issue for networked control systems with external disturbance as well as random time delays and packet dropouts in forward and feedback channels, which are modeled by multiple Markov chains in a unified style. The output feedback controller is designed to stabilize the networked control system and also achieves the prescribed H1 disturbance atten...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Automatica

دوره 89  شماره 

صفحات  -

تاریخ انتشار 2018