The allocation of scarce, reusable resources over time to interconnected tasks in uncertain and dynamic environments in order to optimize a performance measure is a general problem which arises in many real-world domains. The paper overviews several recent distributed approaches to this problem and compares their properties, such as the guarantees of finding a (near-) optimal solution, their ro...

This note investigates the problem of decentralized guaranteed cost control for uncertain neutral large-scale interconnected systems. A novel scheme, viewing the interconnections with time-varying delays as effective information but not disturbances, is developed. Based on this scheme, a descriptor system approach is introduced to derive the robust stabilization criterion of uncertain neutral l...

A robust model matching control of immune response is proposed for therapeutic enhancement to match a prescribed immune response under uncertain initial states and environmental disturbances, including continuous intrusion of exogenous pathogens. The worst-case effect of all possible environmental disturbances and uncertain initial states on the matching for a desired immune response is minimiz...

The paper deals with application of the disturbance-observer (DO) based control to a quarter car active suspension system with uncertain parameters.The DO counteracts disturbances by feedforward compensation computed on the basis of the control input, the state feedback and the nominal system model. The proposed control scheme is verified experimentally on a mechatronic laboratory model. Słowa ...

Robust controller synthesis is considered for disturbances generated by an uncertain filter. The uncertainties are characterized by an integral quadratic constraint (IQC) with general frequency dependent multipliers. By exploiting the problem structure originating from the fact that the uncertainty enters the disturbance filter but not the plant, it is shown how to derive LMI-synthesis conditio...

In this paper, a new adaptive robust control scheme is developed for a class of uncertain dynamical systems with time-varying state delay, unknown parameters and disturbances. By incorporating adaptive techniques into the robust control method, we propose a continuous adaptive robust controller which guarantees the uniform boundedness of the system and at the same time, the regulating error ent...

In this paper, a robust adaptive type-2 fuzzy higher order sliding mode controller is designed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. In Higher Order Sliding Mode Control (HOSMC),the chattering phenomena of the control effort is reduced, by using Super Twisting algorithm. Adaptive interval ...

In this paper, synchronization for a class of uncertain fractional-order neural networks subject to external disturbances and disturbed system parameters is studied. Based on the fractional-order extension of the Lyapunov stability criterion, an adaptive synchronization controller is designed, and fractional-order adaptation law is proposed to update the controller parameter online. The propose...

In this paper a linearly parameterized approximators based algorithm for identifying uncertain systems is proposed. The proposed algorithm ensures stability without previous knowledge of bounds for the “optimal” parameter, approximation error, and disturbances. This algorithm guarantees that the state error converges asymptotically to zero, even in the presence of uncertainties, as long as some...

Climate warming is likely to increase the frequency and severity of forest disturbances, with uncertain consequences for soil microbial communities and their contribution to ecosystem C dynamics. To address this uncertainty, we conducted a meta-analysis of 139 published soil microbial responses to forest disturbances. These disturbances included abiotic (fire, harvesting, storm) and biotic (ins...