In this paper, we extend the conceptualization of uncertainties in natural resources management. Uncertainties come in different kinds, as it is apparent from the multiple classifications and typologies of uncertainties in the literature. Here, we re-contextualize uncertainty in a broader way its role, meaning and relationship with knowing and acting persons because it is from this relationship...

In this article, the problem of choosing from a set of design alternatives based upon multiple, conflicting, and uncertain criteria is investigated. The problem of selection over multiple attributes becomes harder when risky alternatives exist. The overlap measure method developed in this article models two sources of uncertainties – imprecise or risky attribute values provided to the decision ...

An indirect adaptive controller is developed for a class of multiple-input multiple-output (MIMO) nonlinear systems with unknown uncertainties. This control system is comprised of an L 1 adaptive controller and an auxiliary neural network (NN) compensation controller. The L 1 adaptive controller has guaranteed transient response in addition to stable tracking. In this architecture, a low-pass f...

A Quasi-Sliding Mode (QSM) based tracking control method for tackling Multiple-Input Multiple-Output (MIMO) nonlinear continuous-time systems with un-matching system uncertainties and exogenous disturbances is proposed. The presented Repetitive Control (RC) scheme ensures robust system stability when the system is subject to non-periodic uncertainties and exogenous disturbances. The complete re...

A review of uncertainty quantification techniques is provided for a variety situations involving uncertainties in model inputs (independent variables). The interest are divided into three categories: (i) when prediction quantified based on uncertain inputs, (ii) parameter estimate calculated by propagation from measured and outputs, (iii) corresponding estimates. For all situations, linearizati...

A common problem in the optimization of structures is the handling of uncertainties in the parameters. If the parameters appear in the constraints, the uncertainties can lead to an infinite number of constraints. Usually the constraints have to be approximated by finite expressions to generate a computable problem. Here, using the example of the topology optimization of a truss, a method is pro...

This paper presents an Internal Model Control based structure to realise fault tolerance towards sensor faults. The proposed design implicitly embeds fault detection and controller elements requirements with considerations to stability and robustness towards uncertainties besides multiple faults environment. The performance of the proposed controller is demonstrated via multi input multi output...