In this technical note, a robust fault estimation method, based on sliding mode observers, is proposed for collection of agents undertaking shared task and exchanging only relative information over communication network. Since the `system systems' formed by not observable with respect to sensing information, appropriate transformations scalings inputs outputs actual system, meaningful subsystem created. For new subsystem, after modal decomposition associated Laplacian, decoupled depending...

The Machine learning (ML) revolution is becoming established in oceanographic research, but its applications to emulate marine biogeochemical models are still rare. We pioneer a novel application of machine highly complex physical-biogeochemical model predict oxygen the shelf-sea environment. emulators developed with intention supporting future digital twins for two key stakeholder applications: (i) prediction hypoxia aquaculture and fisheries, (ii) extrapolation from observations. identify...

Abstract A general anti‐windup (AW) compensation scheme is provided for a class of input constrained feedback‐linearizable nonlinear systems. The controller considered an inner‐loop dynamic inversion controller, augmented with outer‐loop linear arbitrary structure. For open‐loop globally exponentially stable plants, it shown that (i) there always exists stabilizing AW compensator corresponding to generalization the Internal‐Model‐Control (IMC) solution; (ii) important operator theoretic...

Polynomial chaos and Gaussian process emulation are methods for surrogate-based uncertainty quantification have been developed independently in their respective communities over the last 25 years. Despite tackling similar problems field, to our knowledge there has yet be a critical comparison of two approaches literature. We begin by providing detailed description polynomial building surrogate model black-box function. The accuracy each method is then tested compared simulators used...

There is increasing interest in using Unmanned Aircraft Systems (UAS) flood risk management activities including response to events. However, there little evidence that they are used a structured and strategic manner best effect. An effective flooding essential if lives be saved suffering alleviated. This study evaluates how UAS can the preparation for emergencies develops guidelines their deployment before, during after event. A comprehensive literature review interviews, with people...

ABSTRACT In this paper, a novel source seeking strategy is presented. A single autonomous vehicle modeled as kinematic unicycle moving in two‐dimensional space within spatial field. The proposed control scheme allows the to reach neighborhood of field finite time. work, can be static, translating or dynamically evolving. strategy, based on definition reference trajectory and second order sliding mode extremum approach, exploits only point measurement at position, does not require knowledge...

 Successful, sustainable management of coastal seas requires whole system understanding ecosystem functioning including its physical, chemical and biological factors, integrated with knowledge human actions their impacts. A virtual representation an that suitably reacts to environmental pressures would therefore be extremely valuable in providing accurate prediction future conditions, enable testing policy interventions climate change mitigation adaptation...

The application of two evolutionary optimization methods, namely, differential evolution and genetic algorithms, to the clearance nonlinear flight control laws for highly augmented aircraft is described. algorithms are applied problem evaluating a handling quality criterion simulation model high-performance with delta canard configuration full-authority law. Hybrid versions both incorporating local gradient-based optimization, also developed evaluated. Statistical comparisons computational...

This paper considers a collection of agents per forming shared task making use relative information communicated over an network. A two step design procedure for distributed state feedback control such systems is proposed. The law guaranteed to provide certain level performance in terms LQR cost at network level. An analysis the proposed presence delays carried out obtain bound on maximum delay that can be accommodated.

The selection of mechanical ventilator settings that ensure adequate oxygenation and carbon dioxide clearance while minimizing the risk ventilator-associated lung injury (VALI) is a significant challenge for intensive-care clinicians. Current guidelines are largely based on previous experience combined with recommendations from limited number in vivo studies whose data typically more applicable to populations than individuals suffering particular diseases lung. By combining validated...

This paper considers scenarios wherein a group of malicious vehicles on highway perform cooperative attack with the motive creating undesirable wave effects among other highway. The two species vehicles-malicious and normal vehicles, their associated interaction effects-are modeled using partial differential equations. which may be arbitrarily distributed highway, sequence velocity changes objective making density/velocity profile track reference profile. (chosen by vehicles) has property...

In this paper, a novel fault estimation strategy is proposed for network of dynamical systems at supervisory monitoring level. The nodes include linear and Lipschitz nonlinear dynamics time-varying coupling strength. aim to enhance the autonomy level class by means inherently robust, based on sliding mode ideas. faults are reconstructed from equivalent output error injection signal which used maintain sliding. A key facet that synthesis observer depends solely an individual node network....

Physiological simulators which are intended for use in clinical environments face harsh expectations from medical practitioners; they must cope with significant levels of uncertainty arising non-measurable parameters, population heterogeneity and disease heterogeneity, their validation provide watertight proof applicability reliability the arena. This paper describes a systems engineering framework an silico simulation model pulmonary physiology. We combine explicit modelling...

This study proposes a two-sliding mode (SM) observer to detect and reconstruct certain class of load altering faults in power network. The design is based on the recently proposed multivariable super-twisting structure. IEEE benchmark networks used test scheme are modelled as semi-explicit differential algebraic equations (DAEs). For purpose developing detection scheme, only phase angles generators measured, which represent subset states DAEs. objective estimate (the frequencies generators),...

This letter considers the application of higher order sliding mode (SM) observers to robustly and dynamically estimate unmeasured state variables in modern power grids, which both traditional renewable energy sources coexist. In particular, a grid composed traditional, wind inverter-based connected with dynamical loads is considered. Assuming that only voltage phase angles are locally measured, dedicated SM observer designed for each component, able finite time variables. Numerical...

In this paper, a sliding mode-based guidance strategy is proposed for the control of an autonomous vehicle. The aim vehicle deployment study unknown environmental spatial features. approach allows solution both boundary tracking and source-seeking problems with single capable sensing value field at its position. movement controlled through strategy, which designed on basis collected measurements without necessity preplanning or human intervention. Moreover, no priori knowledge about gradient...

Even though diesel-powered Heavy Goods Vehicles (HGVs) are major contributors of greenhouse gas emission, HGV electrification is still in its infancy owing to various challenges. Costlier and heavier batteries lack charging infrastructure along long routes the bottlenecks realisation for long-haul freight transportation. In this regard, adopting technologies that can make viable vital aid transportation sector decarbonisation. Benefiting from approaches such as use overhead catenary power,...

In this paper, a sliding mode control algorithm is proposed that allows single, sensor enabled agent to navigate along the boundary of contaminated region. The only requires knowledge local measurement scalar field. No gradient information required for spatial phenomenon and distinguishes work from much existing literature. efficacy approach demonstrated using synthetic volcanic eruption dispersion data made available complex Lagrangian model.

In this article, an adaptive super-twisting controller is designed for agile maneuvering quadrotor unmanned aerial vehicle (UAV) to achieve accurate trajectory tracking in the presence of external disturbances. A cascaded control architecture determine desired accelerations using proposed and subsequently used compute orientation angular rates. Finite-time convergence sliding surfaces closed-loop system stability are analytically proven. Furthermore, restrictive assumption on upper bound...

This paper addresses the problem of localizing sources contaminants spread in environment, and mapping boundary affected region using an innovative swarm intelligence based technique. Unlike most work this area algorithm is capable multiple simultaneously while also contaminant spread. At same time suitable for implementation a mobile robotic sensor network. Two types agents, called source localization agents (or S-agents) B-agents) are used purpose. The uses basic glowworm optimization...