scholarly journals Recent Advances on Filtering and Control for Nonlinear Stochastic Complex Systems with Incomplete Information: A Survey

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Bo Shen ◽  
Zidong Wang ◽  
Jinling Liang ◽  
Yurong Liu
Keyword(s):  
Complex Systems ◽  
Incomplete Information ◽  
Stochastic Systems ◽  
Future Research ◽  
Control Problems ◽  
Missing Measurements ◽  
Recent Advances ◽  
Future Research Directions ◽  
Control Technologies ◽  
And Control

Some recent advances on the filtering and control problems for nonlinear stochastic complex systems with incomplete information are surveyed. The incomplete information under consideration mainly includes missing measurements, randomly varying sensor delays, signal quantization, sensor saturations, and signal sampling. With such incomplete information, the developments on various filtering and control issues are reviewed in great detail. In particular, the addressed nonlinear stochastic complex systems are so comprehensive that they include conventional nonlinear stochastic systems, different kinds of complex networks, and a large class of sensor networks. The corresponding filtering and control technologies for such nonlinear stochastic complex systems are then discussed. Subsequently, some latest results on the filtering and control problems for the complex systems with incomplete information are given. Finally, conclusions are drawn and several possible future research directions are pointed out.

scholarly journals A Review on Analysis and Synthesis of Nonlinear Stochastic Systems with Randomly Occurring Incomplete Information

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Hongli Dong ◽  
Zidong Wang ◽  
Xuemin Chen ◽  
Huijun Gao
Keyword(s):  
Incomplete Information ◽  
Stochastic Systems ◽  
Future Research ◽  
Missing Measurements ◽  
Parameter Uncertainties ◽  
Nonlinear Stochastic Systems ◽  
Randomly Occurring Uncertainties ◽  
Analysis And Synthesis ◽  
System States ◽  
And Control

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modeling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent. Such a phenomenon typically appears in a networked environment. Examples include, but are not limited to, randomly occurring uncertainties, randomly occurring nonlinearities, randomly occurring saturation, randomly missing measurements and randomly occurring quantization. Randomly occurring incomplete information, if not properly handled, would seriously deteriorate the performance of a control system. In this paper, we aim to survey some recent advances on the analysis and synthesis problems for nonlinear stochastic systems with randomly occurring incomplete information. The developments of the filtering, control and fault detection problems are systematically reviewed. Latest results on analysis and synthesis of nonlinear stochastic systems are discussed in great detail. In addition, various distributed filtering technologies over sensor networks are highlighted. Finally, some concluding remarks are given and some possible future research directions are pointed out.

scholarly journals Recent Advances on Recursive Filtering and Sliding Mode Design for Networked Nonlinear Stochastic Systems: A Survey

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Hu ◽  
Zidong Wang ◽  
Hongli Dong ◽  
Huijun Gao
Keyword(s):  
Stochastic Systems ◽  
Sliding Mode ◽  
Future Research ◽  
Missing Measurements ◽  
Nonlinear Stochastic Systems ◽  
Design Problems ◽  
Recursive Filtering ◽  
Mode Design ◽  
Recent Advances ◽  
Randomly Occurring Uncertainties

Some recent advances on the recursive filtering and sliding mode design problems for nonlinear stochastic systems with network-induced phenomena are surveyed. The network-induced phenomena under consideration mainly include missing measurements, fading measurements, signal quantization, probabilistic sensor delays, sensor saturations, randomly occurring nonlinearities, and randomly occurring uncertainties. With respect to these network-induced phenomena, the developments on filtering and sliding mode design problems are systematically reviewed. In particular, concerning the network-induced phenomena, some recent results on the recursive filtering for time-varying nonlinear stochastic systems and sliding mode design for time-invariant nonlinear stochastic systems are given, respectively. Finally, conclusions are proposed and some potential future research works are pointed out.

Landscape Models of Complex Change

2021 ◽  
pp. 554-580
Author(s):  
Daniel Albert ◽  
Martin Ganco
Keyword(s):  
Organizational Change ◽  
Future Research ◽  
Research Directions ◽  
Traditional Form ◽  
Nk Model ◽  
Complex Change ◽  
Landscape Models ◽  
Recent Advances ◽  
Complex Landscape ◽  
Future Research Directions

This chapter reviews recent advances in the NK modeling literature conceptualizing organizational change and innovation as a search over a complex landscape. It discusses both strengths and limitations of this perspective and delineates potential for future research directions. The key argument is that the NK model in its traditional form may be exhausting the theoretical insights that it can provide to the field. However, substantial modifications and extensions of the NK model or new classes of landscape models may provide fresh perspectives. Specifically, we consider the modeling efforts that endogenize the landscape construction as the next frontier in this literature. We also discuss several recent studies that incorporate various extensions of the NK model and allow for agent-driven changes to the landscape.

scholarly journals CubeSat Communications: Recent Advances and Future Challenges

2020 ◽  
Author(s):  
Nasir Saeed ◽  
Ahmed Elzanaty ◽  
Heba Almorad ◽  
Hayssam Dahrouj ◽  
Tareq Y. Al-Naffouri ◽  
...  
Keyword(s):  
Channel Modeling ◽  
Future Research ◽  
New Paradigm ◽  
Earth Remote Sensing ◽  
Research Directions ◽  
Space Industry ◽  
Recent Advances ◽  
Wide Range ◽  
Future Challenges ◽  
Future Research Directions

<pre><pre>Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as CubeSats, which are enticing because of their numerous applications and low design-and-deployment cost. </pre><pre>The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity.</pre><pre>CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system.</pre><pre>This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives.</pre><pre>We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking.</pre><pre>Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.</pre></pre>

Learning about Complex Systems from the Bottom Up

2017 ◽  
pp. 158-185
Author(s):  
Sharona T. Levy
Keyword(s):  
Complex Systems ◽  
Role Playing ◽  
Future Research ◽  
Underlying Structure ◽  
Main Question ◽  
Classroom Activities ◽  
Design Learning ◽  
Computer Based ◽  
Future Research Directions ◽  
Participatory Simulations

The topic of learning through collaborative role-playing in computer-based participatory simulations of complex systems in STEM is presented. Participatory simulations are networked classroom activities aimed at learning about complex systems. In the process of learning, students query its underlying structure and explore its spatial, temporal and mathematical patterns in various conditions. The importance of understanding complex systems is highlighted, driving the main question in this chapter: How can we design learning experiences that support students' deep learning of emergent systems? The motivations behind using participatory simulations and their various designs are described as well as some of the more central learning research, cumulating with five studies into designs for such activities in science. Based on this research, eight design principles are introduced and future research directions are proposed.

scholarly journals Recurrent Cholera Outbreaks in Sub-Saharan Africa: Moving beyond Epidemiology to Understand the Environmental Reservoirs and Drivers

Challenges ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Willis Gwenzi ◽  
Edmond Sanganyado
Keyword(s):  
Epidemiological Studies ◽  
Sub Saharan Africa ◽  
Environmental Drivers ◽  
Future Research ◽  
Research Directions ◽  
Complex Interactions ◽  
Future Research Directions ◽  
Sub Saharan ◽  
And Control ◽  
Water Borne

Recurrent cholera outbreaks in sub-Saharan Africa (SSA) attracted a lot of research interest, raising questions about the effectiveness of current prevention and control methods. However, research on cholera and other water-borne diseases in Africa is dominated by epidemiological studies, while investigations on the environmental drivers and reservoirs of cholera remain scarce. The current discourse relating cholera to the environment in SSA is often limited to the rudimentary statement that, “cholera is caused by the consumption of contaminated water and food”. Yet, beyond this simplistic view, literature elsewhere shows that cholera outbreaks are controlled by its complex interactions with environmental drivers and reservoirs. This brings to question whether cholera can be eradicated in SSA without understanding these complex interactions. The current review seeks to (1) highlight the nature and dynamics of recent cholera outbreaks in SSA, (2) discuss the importance of environmental reservoirs of Vibrio cholerae, and anthropogenic and hydroclimatic drivers in controlling the dynamics of cholera outbreaks, and (3) highlight key knowledge gaps and future research directions, and the need to harness emerging research tools such as modeling, machine learning, data mining, and genomics techniques to better understand the cholera dynamics. By bringing to fore these often-overlooked issues in cholera research, we seek to stimulate discussion, and promote a shift toward cross-disciplinary research on cholera and other water-borne diseases in SSA and beyond.

Recent advances in supramolecular block copolymers for biomedical applications

2020 ◽  
Vol 8 (36) ◽  
pp. 8219-8231
Author(s):  
Wumaier Yasen ◽  
Ruijiao Dong ◽  
Aliya Aini ◽  
Xinyuan Zhu
Keyword(s):  
Block Copolymers ◽  
Biomedical Applications ◽  
Future Research ◽  
Biological Applications ◽  
Research Directions ◽  
Recent Advances ◽  
Future Research Directions ◽  
Reversible Nature

Supramolecular block copolymers with a dynamically reversible nature and hierarchical microphase-separated structures can greatly enrich the library of pharmaceutical carriers and outline future research directions for biological applications.

A Survey of Fast Flux Botnet Detection With Fast Flux Cloud Computing

2020 ◽  
Vol 10 (3) ◽  
pp. 17-53
Author(s):  
Ahmad Al-Nawasrah ◽  
Ammar Ali Almomani ◽  
Samer Atawneh ◽  
Mohammad Alauthman
Keyword(s):  
Cloud Computing ◽  
Solution Space ◽  
Memory Storage ◽  
Future Research ◽  
Detection Accuracy ◽  
Security Threats ◽  
Domain Names ◽  
Future Research Directions ◽  
Fast Flux ◽  
And Control

A botnet refers to a set of compromised machines controlled distantly by an attacker. Botnets are considered the basis of numerous security threats around the world. Command and control (C&C) servers are the backbone of botnet communications, in which bots send a report to the botmaster, and the latter sends attack orders to those bots. Botnets are also categorized according to their C&C protocols, such as internet relay chat (IRC) and peer-to-peer (P2P) botnets. A domain name system (DNS) method known as fast-flux is used by bot herders to cover malicious botnet activities and increase the lifetime of malicious servers by quickly changing the IP addresses of the domain names over time. Several methods have been suggested to detect fast-flux domains. However, these methods achieve low detection accuracy, especially for zero-day domains. They also entail a significantly long detection time and consume high memory storage. In this survey, we present an overview of the various techniques used to detect fast-flux domains according to solution scopes, namely, host-based, router-based, DNS-based, and cloud computing techniques. This survey provides an understanding of the problem, its current solution space, and the future research directions expected.

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