This brief presents new theoretical results on the global exponential stability of neural networks with time-varying delays and Lipschitz continuous activation functions. These results include several sufficient conditions for the global exponential stability of general neural networks with time-varying delays and without monotone, bounded, or continuously differentiable activation function. In...

Teleoperation systems that use Internet as communication channel must deal with varying time delays. In these situations, the system can become unstable due to the irregular variations of the time delay. In this paper, a control method of teleoperation systems that we presented considering constant time delays is applied to control a teleoperation system with varying time delays. The control ga...

A new framework is proposed to mitigate the adverse effect of time-varying time delays on the passivity of a teleoperation system. To this end, the communication channel with time-varying delays is modeled as a constant-delay channel along with additive output disturbances. Then, disturbance estimator blocks are added in each of the feedforward and feedback paths to estimate these disturbances ...

In this paper, an adaptive fuzzy control scheme is proposed for a class of perturbed strict-feedback nonlinear systems with unknown discrete and distributed time-varying delays, and the proposed design method does not require a priori knowledge of the signs of the control gains.Based on the backstepping technique, the adaptive fuzzy controller is constructed. The main contributions of the paper...

In high-tech systems design, couplings between the domains of control engineering and real-time software need to be considered. Here, we focus on the coupling between the latency and jitter in the real-time software, i.e. time-delay in control terms, and the stability of the controlled system. It is well known that time-delays can destabilize the system. In the area of Networked Control Systems...

The paper presents a model-based control design method linear systems with time-varying delays. The design is based on pole placement of input-output models. Furthermore, the design of an output feedback controller is divided into two independent design tasks: a predictor design and a feedback design for nondelayed output.

Solving optimization problems in multiagent systems involves information exchange between agents. The obtained solutions should be robust to delays and errors that arise from an unreliable wireless network, which typically connects the system. In today’s large-scale dynamic Internet of Things style scenarios, network topology changes evolves over time. this article, we present a simple distribu...