—in any sense— are made. Secondly, the construction of a solution on a compact interval already shows feasibility of the FC in all intervals with finite horizon. Under extra dissipativity assumptions it is then easy to show that the error remains uniformly bounded away from the funnel boundary. Intrinsically, the methods used to prove the main results lay on the theory of nonlinear, m-dissipative operators, which enjoy of a certain mathematical elegance. Moreover, in the parabolic scenario, one can exploit the structure of the problem to obtain a better result than in the general case. This brings to light that the FC seems to be feasible for systems having stable internal dynamics also in the infinite-dimensional scenario.
Following this train of thought and the techniques learned in Chapter 4, in Chapter 5, we have been able to show that the FC is feasible for a particular nonlinear parabolic system, which involves the so-called FitzHugh-Nagumo potential. The length of the proof does not completely represent its complexity, since most of it is devoted to obtain the necessary inequalities to argue convergence of subsequences in weak and weak? topologies. The main difficulty is indeed the step in which one guarantees that the error remains uniformly bounded away from the funnel boundary while showing that the state satisfies some regularity properties. Hence, nonlinearities or non-autonomous systems do not seem to be an inconvenient, as long as the structure of the problem is reach enough.
As of today, the content presented in this dissertation represents the major work in-volving the funnel controller for systems whose state is described by a PDE with unbounded control and observation operators. It brings the applicability of the con-troller to a completely new world and pushes it way beyond by utterly leaving the finite-dimensional constellation. It lies the fundamental pillars to further explore the feasibility of the FC in the dimensional scenario and also to consider infinite-dimensional observation and control, even though from a practical viewpoint this may not be of interest. Moreover, it provides the main tools for extending the topic into nonlinear or non-autonomous systems. If one considers that the principal aim of the funnel controller is to track a reference signal with prescribed transient behavior, this project generalizes in some sense the one and only similar result in this direction given in [101].
6.1. OPEN QUESTIONS 177 behavior.
As already mentioned in Chapter 4, it is not clear yet how to exploit the structure of the problem when the internal dynamics of the system are stable. Ideally, one should aim to find a characterization between the stability of the internal dynamics and the uniform boundedness ofuas well as finding out when it is possible to show boundedness ofuwithout needing boundedness of ˙x.
A second problem has to do with the nature of the system treated in Chapter 5. It is well-known —see for instance [94, Section 8.2]— that one can find a solution to the nonlinear parabolic problem related to the FitzHugh-Nagumo model by means of the mild solution and a fixed point argument. However, there are two aspects of this method which are not directly transferable to our setting. The first one has of course to do with the non-autonomous feedback, since the set on which one would apply the fixed point argument becomes time-dependent. Secondly, in order to obtain a global solution of the system together with having a uniformly bounded input, one requires the weak formulation of the system and the positivity of some operators, like the form associated to the elliptic operator. For that, it is not sufficient to have an integrated equation which corresponds to the mild solution, since this positivity cannot be exploited.
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GLOSSARY 189
List of notations
Acronyms
ACP abstract Cauchy problem – p. 24
ANCP abstract nonlinear Cauchy problem – p. 38 BCS boundary control system – p. 6
BIBO bounded-input, bounded-output – p. 73 FC funnel controller – p. 3
ID internal dynamics – p. 4 ISS input-to-state stability – p. 176 IVP initial value problem – p. 175
ODE Ordinary Differential Equation – p. 2 PDE Partial Differential Equation – p. 1 SC solution concept – p. 44
General numbers, sets and spaces
Nn
i=1Xi product space, often denoted byX1× · · · ×Xn – p. 7 X0 topological dual space of X, that is,X0 =L(X,K) –
p. 8
hx0, xi duality pairing, that is,x0(x) forx∈X andx0 ∈X0 – p. 8
S closure of a setS – p. 7 intS interior of a setS – p. 7 brc truncation ofr∈[0,∞) – p. 58