In this paper, the problem of calculation of first and second deriva-tives in general non-linear dynamical systems is addressed and an attempt of solution by means of signal flow graph (SFG) techniques is proposed. First and full second derivatives of an output of the initial system respect with the node variables of the starting SFG are delivered through an adjoint graph derived without using Lee’s theorem. Mixed second derivatives are deduced by quantities at-tained in adjoint graphs of the original graph or graphs related to it. A detailed theoretical demonstration of these formulations is given. Even though no adjoint graph has been derived in case of mixed derivatives, the ability of the proposed method to determine all Hes-sian matrix...
AbstractWe use the language of signal flow graph representation of digital filter structures to solv...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
A large class of nonlinear dynamic adaptive systems such as dynamic recurrent neural networks can be...
In this paper, we derive a new general method for both on-line and off-line backward gradient comput...
Concepts which promise to extend many fundamental results of network theory to general systems are i...
This research was supported by the Italian MURST. Please address comments to the first author. In th...
In this paper, making use of the signal-flow-graph (SFG) representation and its known properties, we...
Signal-flow-graphs is a special kind of directed graph which is widely used to represent physical an...
Working paper to show how to uses signal flow graphs (a digraph) to calculate the gains in a linear ...
Signal-flow graph (SFG) technique is a very useful tool for a hand analysis of a small and medium-si...
Every network synthesis procedure normally includes a first-order or (more rarely) second-order netw...
Every network synthesis procedure normally includes a first-order or (more rarely) second-order netw...
(KCL), and the elements ’ laws (branch characteristics). For filter applications, we write the frequ...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
AbstractWe use the language of signal flow graph representation of digital filter structures to solv...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
A large class of nonlinear dynamic adaptive systems such as dynamic recurrent neural networks can be...
In this paper, we derive a new general method for both on-line and off-line backward gradient comput...
Concepts which promise to extend many fundamental results of network theory to general systems are i...
This research was supported by the Italian MURST. Please address comments to the first author. In th...
In this paper, making use of the signal-flow-graph (SFG) representation and its known properties, we...
Signal-flow-graphs is a special kind of directed graph which is widely used to represent physical an...
Working paper to show how to uses signal flow graphs (a digraph) to calculate the gains in a linear ...
Signal-flow graph (SFG) technique is a very useful tool for a hand analysis of a small and medium-si...
Every network synthesis procedure normally includes a first-order or (more rarely) second-order netw...
Every network synthesis procedure normally includes a first-order or (more rarely) second-order netw...
(KCL), and the elements ’ laws (branch characteristics). For filter applications, we write the frequ...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
AbstractWe use the language of signal flow graph representation of digital filter structures to solv...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...
We explore the signal flow graph as a setup for visualizing and analyzing interconnected systems. Tw...