Non-Abelian plasma instabilities may be responsible for the fast apparent quark-gluon thermalization in relativistic heavy-ion collisions if their exponential growth is not hindered by nonlinearities. We study numerically the real-time evolution of instabilities in an anisotropic non-Abelian plasma with an SU(2) gauge group in the hard-loop approximation. We find exponential growth of non-Abeli...

Several control strategies have been proposed to deal with time delay, parametric uncertainties and nonlinearities for bilateral teleoperation. Furthermore, published works had shown that sliding mode control is a viable option to deal with parametric uncertainty and hard nonlinearities. In this paper, an impedance control based on sliding mode techniques is presented, to guarantee robust track...

In this work we propose a scheduling and control formulation for simultaneously addressing scheduling and control problems by explicitly incorporating process dynamics in the form of system constraints that ought to be met. The formulation takes into account the interactions between such problems and is able to cope with nonlinearities embedded into the processing system. The simultaneous sched...

Abstract Vibration isolation is one of the most efficient approaches to protecting host structures from harmful vibrations, especially in aerospace, mechanical, and architectural engineering, etc. Traditional linear vibration hard meet requirements loading capacity band simultaneously, which limits further engineering application, low-frequency range. In recent twenty years, nonlinear technolog...

The existence of analytic threshold nonlinearities was probed with 2AFC incremental threshold functions for both local and extended test patterns on stationary matched pedestals of the same and opposite sign. In contrast to the facilitation effect with same-sign pedestals, sensitivity with opposite-sign pedestals first deteriorated up to the mask detection level, abruptly improved and then dete...

Considering rather severe parametric uncertainties and nonlinear uncertainties exist in the dynamic model of pneumatic muscles driven parallel manipulator, a discontinuous projection-based adaptive robust control strategy (ARC) is adopted to effectively handle the effect of various parameter variations of the system and hard-to-model nonlinearities such as the friction forces of the pneumatic m...

This paper highlights some of our recent results on control of single-input single-output constrained uncertain nonlinear processes. The main issues and challenges that arise in control of such processes are discussed and a novel Lyapunovbased framework for nonlinear controller synthesis is presented to address these issues. The proposed framework leads to the explicit synthesis of nonlinear ro...

The nonlinearity of dynamics in systems biology makes it hard to infer them from experimental data. Simple linear models are computationally efficient, but cannot incorporate these important nonlinearities. An adaptive method based on the S-system formalism, which is a sensible representation of nonlinear mass-action kinetics typically found in cellular dynamics, maintains the efficiency of lin...

Physical systems are by nature continuous but often exhibit nonlinearities that make behavior generation complex and hard to analyze Complexity is often reduced by linearizing model constraints and by ab stracting the time scale for behavior generation In either case the physical components are modeled to operate in multiple modes with abrupt changes be tween modes This paper discusses a hybrid...

Robots are slowly entering into the unstructured environments populated with humans where traditional control techniques, applied in industrial settings, are becoming inadequate. Reasons for this are that we can not pre-progam tasks in advance reliably and the usual assumption of rigid body dynamics is violated for most lightweight robotic arms. Learning techniques allow for learning models for...