Disturbance-to-State Stabilization and Quantized Control for Linear Hyperbolic Systems
نویسندگان
چکیده
We consider a system of linear hyperbolic PDEs where the state at one of the boundary points is controlled using the measurements of another boundary point. Because of the disturbances in the measurement, the problem of designing dynamic controllers is considered so that the closed-loop system is robust with respect to measurement errors. Assuming that the disturbance is a locally essentially bounded measurable function of time, we derive a disturbance-to-state estimate which provides an upper bound on the maximum norm of the state (with respect to the spatial variable) at each time in terms of L∞-norm of the disturbance up to that time. The analysis is based on constructing a Lyapunov function for the closed-loop system, which leads to controller synthesis and the conditions on system dynamics required for stability. As an application of this stability notion, the problem of quantized control for hyperbolic PDEs is considered where the measurements sent to the controller are communicated using a quantizer of finite length. The presence of quantizer yields practical stability only, and the ultimate bounds on the norm of the state trajectory are also derived.
منابع مشابه
A new switching strategy for exponential stabilization of uncertain discrete-time switched linear systems in guaranteed cost control problem
Uncertain switched linear systems are known as an important class of control systems. Performance of these systems is affected by uncertainties and its stabilization is a main concern of recent studies. Existing work on stabilization of these systems only provides asymptotical stabilization via designing switching strategy and state-feedback controller. In this paper, a new switching strate...
متن کاملAdaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
متن کاملL2 stability for quantized linear systems with saturations
This paper deals with ultimate bounded stability analysis and stabilization conditions for systems involving input saturation and quantized control law, which corresponds to the state quantization case. The state feedback control design problem is then addressed. Theoretical results to ensure the ultimate boundedness and the L2 stability of the closed-loop system are presented both in local as ...
متن کاملOn Control of Linear Systems Using Quantized Feedback
This paper studies a number of control problems for linear systems using quantized feedback. First, we revisit the work by Elia and Mitter on quadratic stabilization of linear systems using quantized state feedback and show that their result on coarsest quantization density can be simply obtained from known quadratic stabilization theory by treating the quantization error as sector-bounded unce...
متن کاملNetwork-based H∞ control of linear systems with state quantization
This paper addresses H∞ controller design for linear systems over digital communication networks. An innovative model is proposed that describe both the network conditions and the state quantization of the networked control systems in an unified framework. From this model, a quantized state feedback strategy is developed for global and asymptotical stabilization of the networked control systems...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1703.00302 شماره
صفحات -
تاریخ انتشار 2017