Cooperative Control of Multi-Agent Systems: Optimal and by Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric,

By Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das

Cooperative keep an eye on of Multi-Agent Systems extends optimum keep watch over and adaptive keep watch over layout ways to multi-agent platforms on conversation graphs. It develops Riccati layout concepts for basic linear dynamics for cooperative country suggestions layout, cooperative observer layout, and cooperative dynamic output suggestions layout. either continuous-time and discrete-time dynamical multi-agent structures are handled. optimum cooperative keep watch over is brought and neural adaptive layout strategies for multi-agent nonlinear structures with unknown dynamics, that are infrequently handled in literature are built. effects spanning structures with first-, moment- and on as much as normal high-order nonlinear dynamics are presented.

Each keep watch over technique proposed is constructed via rigorous proofs. All algorithms are justified via simulation examples. The textual content is self-contained and should function an outstanding finished resource of knowledge for researchers and graduate scholars operating with multi-agent systems.

Show description

Read Online or Download Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches PDF

Best control systems books

Modeling and Control of Complex Physical Systems: The Port-Hamiltonian Approach

Strength alternate is an immense starting place of the dynamics of actual platforms, and, as a result, within the research of complicated multi-domain platforms, methodologies that explicitly describe the topology of strength exchanges are instrumental in structuring the modeling and the computation of the system's dynamics and its keep an eye on.

Intelligent Diagnosis and Prognosis of Industrial Networked Systems (Automation and Control Engineering)

In an period of extensive pageant the place plant working efficiencies has to be maximized, downtime as a result of equipment failure has turn into extra high priced. to chop working bills and raise sales, industries have an pressing have to expect fault development and final lifespan of commercial machines, approaches, and structures.

Fault Detection and Diagnosis in Engineering Systems

That includes a model-based method of fault detection and prognosis in engineering platforms, this booklet includes up to date, sensible info on combating product deterioration, functionality degradation and significant equipment harm. ;College or collage bookstores may possibly order 5 or extra copies at a distinct scholar fee.

Extra resources for Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches

Example text

3 Consensus Leaders A (directed) tree is a connected digraph where every node except one, called the root or leader, has in-degree equal to one. 4 that all nodes reached a consensus heading equal to the initial heading of the leader. 23) with pi the i-th component of the left eigenvector w1 for the zero eigenvalue. If the graph is strongly connected, one has pi > 0, ∀i since each node influences all other nodes along directed paths. If the graph has a spanning tree but is not strongly connected, then some nodes do not have paths to all other nodes.

Is said to be distributed if mi < N , ∀i , i that is, the control input of each node depends on some proper subset of all the nodes. It is said to be a protocol with topology G if ui = ki ( xi ,{x j | j ∈ N i }), that is, each node can obtain information about the state only of itself and its (in)-neighbors in N i . 3 Consensus with Single-Integrator Dynamics 35 Cooperative control, or control of distributed dynamical systems on graphs, refers to the situation where each node can obtain information for controls design only from itself and its neighbors.

38) is a weighted centroid, or center of gravity, of the group of agents, which remains stationary under the local voting protocol. 41)    ..   . 1 −1 T pN  being the normalized first left eigenvector of L, that is, with w1 =  p1 T w1 L = 0, ∑ pi = 1. 42) with x(t ) ∈ R N −1 being an error vector that shows how far the node states are from consensus. 43) where Pk = ∑ i = k pi . 46) Since a state-space transformation does not change the eigenvalues, the eigenvalues of L are the eigenvalues λ 2 , , λ N of L.

Download PDF sample

Rated 4.68 of 5 – based on 38 votes