Abstract: A decentralized boundary control problem for irrigation canal networks is considered in this paper. The control scheme is based on a strict Lyapunov method introduced in Coron et al. (2007). A sufficient condition is presented to guarantee the closed-loop system to be locally convergent to a desired set point, which extends the results in Coron et al. (2007) for the single-pool case t...

This paper presents the design of a reliable decentralized state feedback control for a class of uncertain interconnected polytopic continous systems. A model of failures in actuators is adopted which considers outages or partial degradation in independent actuators. The control is developed using the concept of guaranteed cost control and a new LMI characterization using polytopic Lyapunov fun...

We propose a technique for the design and analysis of decentralized adaptation algorithms in interconnected dynamical systems. Our technique does not require Lyapunov stability of the target dynamics and allows nonlinearly parameterized uncertainties. We show that for the considered class of systems, conditions for reaching the control goals can be formulated in terms of the nonlinear L2-gains ...

This paper presents a discrete-time decentralized control scheme for trajectory tracking of a two degrees of freedom (DOF) robot manipulator. A high order neural network (HONN) is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form (BSFF). The weights for each neural network are adapted online by an extended Kalman fi...

We consider a wireless control architecture where multiple sensors independently and randomly access a shared wireless medium to communicate with corresponding actuators, and we develop a decentralized channel access mechanism. Each sensor iteratively adapts the rate at which it accesses the medium in order to mitigate the effect of packet collisions from simultaneously transmitting sensors on ...

In actual work, the system parameters of robot joints will change in real time or cannot be measured, and coupling relationship between various subsystems existence modeling errors make model difficult to determine. Based on such problems, a neural network observation is proposed Decentralized control method for robot. manipulator, firstly, each joint subsystem established by decentralized theo...

This paper considers a decentralized H2 control problem for multichannel linear time-invariant (LTI) descriptor systems. Our interest is to design a low order dynamic output feedback controller. The control problem is reduced to a feasibility problem of a bilinear matrix inequality (BMI) with respect to variables of a coefficient matrix defining the controller, a Lyapunov matrix and a matrix re...

variation of frequency and voltage by load changes in a microgrid is a challenge in droop control method. centralized restoration frequency or voltage in a microgrid requires communication link and therefore affects the advantage of decentralized droop control such as reliability, simplicity and inexpensiveness. this paper proposes a decentralized method that restores the frequency of a microgr...

In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...