Consensus control has been widely studied with the recent advances in measurements and communication. For a consensus control design to work, a number of dynamical systems are connected to achieve similar objective or task which has been proved in a lot of applications. The word 'consensus' itself refers to the long-standing problem tradition in computer science. It means that a common goal can be reached based on opinion pool of each member in a group. This important element has been incorporated into the control system to become consensus control. Hence, the combined terms consensus and control refers to a set of specially structured and connected dynamical systems that utilizes a specific control design in order to reach a common task. It has a special structure that resembles a tree of communication network between agents or subsystems. By manipulating this structure, consensus control is special since it can only focus on one agent or subsystem with similar dynamics and make other to perform the same tasks of the single agent or subsystem. In a lot of applications, each agent or subsystem with similar dynamics are connected together to perform control objectives either involving relative state information of each agent/subsystem or with different type of information such as output states of the system. Some of well known work in the field are shown in cite{fax-murray-2004-ieee},cite{saber-fax-murray-2007-ieee},cite{ren-2007-iet},cite{ren-2007-sciencedirect},cite{ding-2013-ascc},cite{li-duan-chen-huang-2010-ieee},cite{li-duan-chen-2011-iet} among others.
Observer design techniques for Lipschitz nonlinear systems were considered in cite{thau-1973-ijc}, cite{raghavan-hedrick-1994-ijc}, cite{rajamani-1998-ieee},...
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...ith nonlinearity in the system dynamics is considered fairly general with respect to the connection structure. The connection structure is analyzed based on the structure of Laplacian matrix, which is exploited carefully and provides a solution for consensus controller and observer under some sufficient stability conditions on the Lipschitz constant. At first, we design a linear full-state feedback consensus controller and derive a sufficient condition under which asymptotic stability is achieved. This controller utilize the relative state information from the system network together with a local feedback to stabilize the system. Then a Luenberger-like consensus observer has been proposed and analyzed. The contribution of this research is a measure of tolerated nonlinearity can be given with global stability. Two simulation examples are given to prove the study.
Currently, there are multiple challenges to the US healthcare system like the nation’s aging population and the staggering reports of alarming rates of increase in chronic diseases in both pediatrics and adults (Stanley, 2012). While the need for more healthcare providers who can take care of these populations increases, a study by Peterson et al. (2012) states that there is a foreseen shortage primary care physician due to new physicians opting to specialize. Coincidentally, the availability of Advanced Practice Registered Nurses (APRNs) has been increasing throughout the years. APRNs, specifically Nurse Practitioners (NPs) and Clinical Nurse Specialists (CNSs), can fill in the shortage of primary care providers (Stanley, 2012).
Agnew and Passas talked about the similarities between the macrolevel of anomie and control theory, but emphasized that the micro level theory of strain should be considered separate from control theory. Agnew also compared strain theory to control theory and social learning theory. The theories differ by the type of social relations that they stress and the motivations on which they are based. While control theory rests on the premise that the breakdown of society frees the individual to commit crime, strain theory is focused on the pressure that is placed on the individual to commit crime. Social learning theory is based on the forces from a group that lead to a positive view of crime. According to strain theory, individual
A community may be defined as a feeling of fellowship with others, as a result of sharing common attitudes, interests and goals. Although each and every community divaricates from the next, each holds a common base ground for tradition and standard. It is in fact tradition and standards of behavior that unify a community to implement a sense of stability. After all, stability is the inescapable quality that bonds a community as one. This imperative factor is in fact one that is investigated in a hopeless quest to find the true meaning of community and its gravitational pull of mankind. The assumption that a community, in essence, exudes a sense of stability may be refuted in three key limitations. Entrusting too much of one’s faith in tradition and community standards can lead to the ultimate dissolution of a community’s health. Furthermore, dwelling on the act of maintaining the tradition and standards of that community can lead to downfall of one’s own being, and individuality. At the cost of the community as a whole, proceeding to maintain these traditions and standards is in the least bit ideal, as values and traditions are ever evolving and most commonly outdated in future composition. In the excerpts of “A Wobegon Holiday Dinner” by Garrison Keillor, “The Amish Charter” by John Hostetler, and “It Takes a Tribe” by David Berreby, the limitations of the assumption that communities provide a sense of stability are refuted on the basis of tradition and social standards.
Language is defined as the method of human communication either spoken or written, consisting of the use of words, in a structured or conventional way. Communication is the interaction or exchange of information or news(Webster, 2013).
Reflecting on Travis Hirschi's Control Theory--How would you apply it to the students (or other population) The way that I can apply the Travis Hirschi's Control Theory to the students at APCH is by conforming with the students at APCH to social norms which depends on a strong bond between the staff at APCH and the students surrounding community to live in today's ride or die society. By applying the Travis Hirschi's Control Theory we have to use the four dimensions to incorporate the success of the Theory. Hirschi's concern was "why don't more people become delinquent?" Hirschi's concern of why do not more people become delinquent, will be met by applying this concern to APCH it will demonstrate the success of the program and it's well being to the surrounding community that few will be delinquents and more will become successful in the near future.
A complex adaptive system is entity of networks and connections. It can “learn and adapt to change over time” which can change the “structure of the system” (Clancy, Effken, Pesut, 2008). It contains twelve elements: autopoesis or self-regenerization, open exchange, participation in networks, fractals, phase transition between order and chaos, search for fitness peaks, nonlinear dynamics, sensitive dependence, attractors that limit growth, strange attractors of emergence...
There may be a power struggle if everybody wanted to be the leader of the group. The type of communication used in a Matrix structure In a matrix structure the type of communication used will be verbal communication. It will be verbal communication because everyone is more likely to be in the same room if they are working as a team.
Tank, David W. and John J. Hopfield. "Collective Computation in Neuronlike Circuits." Scientific American. 1987. PDF. 24 March 2014. .
In Feedback as a gift, Friedrich discusses his points on how feedback should be viewed. The author describes feedback as a gift and if we view it that way it would change our mindsets when receiving it. On another note the article by Stone and Heen, Difficult conversations 2.0: Thanks for the feedback, the main focus is on the benefits we receive from accepting feedback and becoming a skillful receiver. The author also discusses why we as humans reject feedback calling these reactions triggers. In Max Performance Feedback, Sadri and Seto discuss the three different types of feedback. Each articles content is crucial to one’s professional development.
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung disease that includes many different chronic lung conditions, such as chronic bronchitis, emphysema and asthma (Hodson & Sherrington, 2014). COPD is a leading cause of emergency hospitalization in the United States and European countries. The most common causes of COPD are tobacco, environmental factors, occupation exposures and genetics (Hodson & Sherrington, 2014). For some patients COPD can add difficulties and hinder their everyday activities. Patients with COPD have many stages of medical and social healthcare needs. This makes it difficult for health care providers to manage their symptoms (Hodson & Sherrington, 2014). Throughout this paper I will be discussing the pathophysiology practice management, and the population health as it pertains to COPD. I will also be examining the Dorothy Orem theory and the scope and role of an Advance
... in Wireless Sensor Networks: Current proposal and Future Development, IEEE Xplore, Hong Kong, Oct- 2007.
The main theories of aversive control consist of two-factor theory, operant theory, cognitive theory, and biological theory.
Many times our social control is based off how we grew up and what values our family has instilled in us. This is not necessarily true because I have two male cousins with the same parents. We all grew up as a close family. One has self-control of his actions and the other one does not care about his actions what so ever. The oldest cares about how people view him, so he thinks before he reacts. His brother on the other hand reacts before he thinks and tends to not care how other perceive him. The youngest is always in and out of jail because he has a problem with domestic
J. O. Trierweiler and A. R. Secchi. Exploring the potentiality of using multiple model approach in nonlinear model predictive control. In Frank Allgwer and Alex Zheng, editors, Nonlinear Model Predictive Control, volume 26 of Progress in Systems and Control Theory, pp. 191-203. Birkhuser Basel, 2000. URL http://dx.doi.org/10.1007/978-3-0348-8407-5_11.
Nonlinear relationship is also a key principle of chaos theory (Hudson, 2000). According to Hudson (2000), nonlinearity is necessary for chaos. It shows the disproportion of cause and eff...