Showing papers in "Annual Reviews in Control in 2016"

TL;DR: An overview of both historical and recent USVs development is provided, along with some fundamental definitions, and existing USVs GNC approaches are outlined and classified according to various criteria, such as their applications, methodologies, and challenges.

TL;DR: The features of different model-based and data-driven FD-HM approaches are investigated separately as well as the existing works that attempted to integrate both of them are investigated.

TL;DR: This paper aims to review the most commonly used techniques of opacity validation for deterministic models and opacity quantification for probabilistic ones and existing tools for opacity validation and current applications.

TL;DR: This paper provides a comprehensive review on existing design approaches including iterative linear matrix inequalities heuristics,linear matrix inequalities with rank constraints, methods with decoupled Lyapunov matrices, and non-Lyapunovo-based approaches.

TL;DR: Questions about virtual and remote labs and their benefits are answered, to bring the attention of the control education community to these tools which are meant to have an increasing importance and relevance for the 21st century students.

TL;DR: In this paper, the authors provide some perspectives on progress in the design of process monitoring systems over the last twenty years and discuss the challenges in the field and opportunities for future research.

TL;DR: It is suggested that some proposals are too complex and computationally demanding for application in this area and some tentative proposals for research on robust and stochastic model predictive control to aid applicability are made.

TL;DR: Various aspects of the reported works of two-link flexible manipulators available in the literature are discussed, including modeling methods, dynamical analyses, complexities involved and control schemes used.

TL;DR: An overview of the research at NTNU AMOS related to mapping and monitoring of the seabed and the oceans is given and Associated definition and requirements related to autonomy are addressed.

TL;DR: An overview of the vital developments within the SI engine control system strategies is consolidated and reviews about some of the basic control modules in the engine management system.

TL;DR: A detection test is developed and shown to merge the usually mutually exclusive benefits granted by set-membership techniques (robustness to the worst-case within specified bounds, domain computations) and stochastic approaches (taking noise distribution into account, probabilistic evaluation of tests).

TL;DR: Predictive control methods can provide a basis to tackle the appearing challenges: the efficient and easy implementation of predictive control on omnipresent embedded computation hardware, the question of resource and network aware control, as well as control on the network level of systems of systems.

TL;DR: This article aims to provide a systematic review of the predictive control approaches in bilateral teleoperation by elaborating initially the most common schemes and then qualitative and quantitative comparisons along with discussions made with respect to stability, transparency, and robustness.

TL;DR: An overview of the modeling of axial and torsional self-excited drilling vibrations is presented, allowing a proper system characterization and the identification of the vibration sources to avoid them or mitigate their influence.

TL;DR: The state-of-the-art and the motivations regarding these research issues are described, able also to operate real-time and with limited number of additional physical sensors.

TL;DR: The paper concentrates on the application of negative imaginary systems theory in the area of control of atomic force microscopes.

TL;DR: In this article, the authors present an overview on mathematical and physical models (exact and simplified) of the different variants of the Costas loop and derive the lock-in range for the case where a lead-lag filter is used for the loop filter.

TL;DR: Regularization and Bayesian methods for system identification have been repopularized in the recent years, and proved to be competitive w.r.t. classical parametric approaches.

TL;DR: The role of multi-agents and multi-timescales in smart grids and socio-technical models of empowered drivers in smart cities are discussed, including empowered consumers, transactive control, and resilience.

TL;DR: The ability of the local approach for fault quantification will be exhibited, whereas previously it was only presented for fault detection and isolation, and the numerical computation of statistical tests in the Gaussian framework will be revisited to improve numerical efficiency.

TL;DR: It is shown how the swing equation can be directly deduced from the power balance of the port-Hamiltonian model of the synchronous generator, which enables a straightforward stability analysis and provides a starting point for control.

TL;DR: This paper takes a further step in expanding the applicability of Economic Model Predictive Control by illustrating how the paradigm can be adapted in order to accommodate time-varying or parameter-variesing costs.

TL;DR: This paper reviews the literature for simplified models of gas-liquid two-phase flow with a focus on applications from the field of drilling, and evaluates their ability to qualitatively represent dynamics of 3 different gas- liquid scenarios encountered in drilling.

TL;DR: The paper begins by identifying current challenges in model-based safety assessment and then overviews the use of meta-heuristics at various stages of the design lifecycle covering topics that span from allocation of dependability requirements, through dependability analysis, to multi-objective optimisation of system architectures and maintenance schedules.

TL;DR: This paper presents the first major attempt for climate system identification in the sense of the systems theory – in the hope to significantly reduce the uncertainty ranges.

TL;DR: A unified classification of efficiency of energy systems, namely performance efficiency, operation efficiency, equipment efficiency and technology efficiency (POET), is reviewed and further discussed to facilitate effective use of DSM methods in a selection of energy-intensive industrial processes.

TL;DR: An overview of the applicability as well as the (dis)advantages of the various system identification techniques are compared and can work toward the application ofSystem identification techniques in a clinical setting.

TL;DR: This survey considers examples of how to develop control and optimization algorithms for air transportation systems that are grounded in real-world data, implement them, and test them in both simulations and in field trials.

TL;DR: It is shown that the convex hull of the union of two or more D -invariant sets is not necessarily D - Invariant, while the conveX hull of a non-convex D - invariant set is D -Invariant.

TL;DR: The present paper addresses discrete-event systems and provides an overview on fault-tolerant supervisory control in terms of formal languages to uniformly present approaches to passive Fault-tolerance, active fault-Tolerance, post-fault recovery and fault hiding.