Protocol Design for Output Consensus of Port-controlled Hamiltonian Multi-agent Systems

In this paper, the decoupling problem for systems with additive noise is addressed The decoupled model is initially constructed in the absence of noise By imbedding feedforward and constant o utput feedback matrices into a control structure, a performance index can be formulated, representing an error between the output of a desired model and the output o f the actual system Optimization of this performance measure results in the parametric design for the feedback and feedforward matrices which decouple the system in spite of external noise d isturbances

On The Approximate Decoupling Of Linear Stochastic Systems

In this paper, the problem of decoupling a linear time-invariant multivariable system subject to noise disturbances is investigated. Both plant and measurement noise are included. Under this setting, an optimal state feedback matrix is derived by minimizing a quadratic cost functional that overcomes the effects of the noise on the decoupling properties of the closed-loop system. This cost functional represents the tracking error between some desired output of a linear system driven by white noise and the actual closed-loop system subject to noise. An example is presented to illustrate the design approach.

Design of decoupled multivariable stochastic control systems

The necessary and sufficient conditions for the decoupling of an m-input, m-output, linear time varying dynamical system by state variable feedback is described. The class of feedback matrices which decouple the system are illustrated. Systems which do not satisfy these results are described and systems with disturbances are considered. Some examples are illustrated to clarify the results.

/pdf/decoupling-in-linear-time-varying-multivariable-systems-3625bl6zxv.pdf

Decoupling in linear time-varying multivariable systems

Necessary and sufficient conditions for decoupling in linear multivariable systems with known plant and observation noise are presented.

http://ieeexplore.ieee.org/iel5/9/24118/01099694.pdf

V. Sankaran

Papers

Decoupling of systems with plant and measurement noise