How Long to Read Distributed Decision-making of Networked Multi-agent Systems in Complex Environments

How Long Does it Take to Read Distributed Decision-making of Networked Multi-agent Systems in Complex Environments?

It takes the average reader 3 hours and 30 minutes to read Distributed Decision-making of Networked Multi-agent Systems in Complex Environments by Minghui Zhu

Assuming a reading speed of 250 words per minute. Learn more

Description

This dissertation is concerned with distributed decision making in networked multi-agent systems; that is, developing practical mechanisms which agents can utilize to autonomously coordinate their actions/decisions through local message exchanges and successfully achieve a system level goal with a satisfactory performance guarantee. In particular, this dissertation is divided into three parts and each one focuses on the following three classes of problems : (1) distributed average consensus; (2)distributed cooperative constrained optimization; (3) distributed online learning based coordination. This dissertation starts from the fundamental problem of distributed average consensus. In Part I, we first propose a class of dynamic average consensus algorithms and show that these algorithms allow agents to asymptotically track the average of a class of time-varying individual reference inputs. We then come up with a class of gossip-based algorithms which agents can use to achieve approximate average consensus via exchanging quantized information. Part II is concerned with a class of general multi-agent optimization problems. In particular, each agent is associated with a local objective function and a local constrained set. There is a pair of inequality and equality constraints known to all the agents. We first present a class of distributed primal-dual subgradient algorithms to solve the case when all the ingredients are convex. We then introduce a distributed approximate dual subgradient algorithm to address the non-convex counterpart. Part III studies distributed coordination schemes with online learning. The first problem considered is to optimally deploy a group of visual mobile sensors where the environmental distribution is unknown a priori. We formulate the problem as a non-cooperative game and come with up two distributed learning algorithms which allow sensors converge to the set of Nash equilibria and global optimum with probability one, respectively. The second problem is distributed formation control against a class of deception attacks. We propose a class of algorithms which allow vehicles adapt their strategies online and achieve the desired formation in the presence of deception attacks.

How long is Distributed Decision-making of Networked Multi-agent Systems in Complex Environments?

Distributed Decision-making of Networked Multi-agent Systems in Complex Environments by Minghui Zhu is 210 pages long, and a total of 52,500 words.

This makes it 71% the length of the average book. It also has 64% more words than the average book.

How Long Does it Take to Read Distributed Decision-making of Networked Multi-agent Systems in Complex Environments Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 46 minutes to read Distributed Decision-making of Networked Multi-agent Systems in Complex Environments aloud.

What Reading Level is Distributed Decision-making of Networked Multi-agent Systems in Complex Environments?

Distributed Decision-making of Networked Multi-agent Systems in Complex Environments is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

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