Showing papers in "IFAC Proceedings Volumes in 1984"

TL;DR: A condensing algorithm for the solution of the approximating linearly constrained quadratic subproblems, and high rank update procedures are introduced, which are especially suited for optimal control problems and lead to significant improvements of the convergence behaviour and reductions of computing time and storage requirements.

TL;DR: This paper proposes methods for automatic tuning of slmple regulators that will give a solution to the longstanding problem of safe Initialization of more sophisticated adaptive controllers.

TL;DR: A continuous-time version of the Extended Horizon Adaptive Controller (EHAC) is developed using the Delta Operator formulation and uses the Internal Model Principle to reduce off-set.

TL;DR: A new technique for parameter tracking that consists in an application of the exponential forgetting only to the marginal probability density function on the smallest subspace of parameter space influenced by the current data is proposed.

TL;DR: In this paper, a robust control technique is developed at the second level forcing the controlled manipulator to follow the behaviour of a decoupled linear time invariant system, and the problem of converting coordinates is reformulated as a nonlinear dynamic problem and is solved again by making use of robust adaptive techniques.

TL;DR: In this article, a method to identify these coefficients and to construct nonlinear dynamic mode is proposed for serial manipulators with arbitrary number of links, which consists of three types of simple enough tests performed without decomposing the manipulator into parts.

TL;DR: The phase (offset) controller using fuzzy control statements that is useful when the traffic is rather heavy is proposed that is effective even for the control of successive traffic junctions.

TL;DR: In this paper, a nonlinear adaptive state observer and a special correlation technique were developed, based on pressure and flow measurements at the pipeline inlet and outlet, for the early detection and localization of small leaks in pipelines.

TL;DR: In this paper, the authors addressed three distinct yet related topics in the design of controllers for imprecisely known linear multivariable systems and derived necessary and sufficient conditions for robust stabilization.

TL;DR: In this paper, a mathematical framework for decentralized control of interconnected systems, the subsystems of which possess certain inputs and outputs as well as states in common, is established, and the Inclusion Principle is extended for a unified treatment of expansion and contraction of the overlapping inputs, outputs, and states.

TL;DR: An informal account is presented of the generalization to the multivariable case of the minimax optimization of a combination of the sensitivity matrix and its complement of a linear feedback system.

TL;DR: In this paper, the foundations of a hierarchical-decentralized traffic light control are presented and the first application of these concepts -the Progetto Torino -is described.

TL;DR: An unconventional learning control method based on assumptions in the liturature about human problem solving and information storage in neuronal networks that is especially suited for strongly nonlinear processes is explained.

TL;DR: These schemes not only assure the asymptotic stability of positioning, but also make it possible to move robot manipulators at high speed and stop smoothly with high positioning accuracy.

TL;DR: In this paper, it was shown that the system is asymptotically stable if and only if the associated Lyapunov differential equation admits a periodic solution positive definite at each time instance.

TL;DR: In this paper, it is shown that mathematical models published earlier do not describe the dynamics of present designs of large Diesel engines sufficiently accurate to allow the design of high precision shaft speed controls.

TL;DR: It is shown how the regularity conditions of mathematical programming can be translated into controllability conditions and how the solution of the quadratic program is carried out in the standard Riccati equation.

TL;DR: Adaptive regulators have been commercially available for a few years and one of the very first general products in this area is the ASEA NOVATUNE, presented to the marketplace in 1982 as mentioned in this paper.

TL;DR: In this paper, the authors present a new parameter adaptive PID-controller, which consists of an explicit combination of a two-stage square root parameter estimator and a numerical controller parameter optimization.

TL;DR: Of particular interest deserves the MUSMAR self-tuner that realizes an LQG adaptive controller in a numerically simple way and yields a robust performance.

TL;DR: In this paper, the authors have proposed a method called the satisficing trade-off method in the middle of optimization and satisficing, which is more attractive as the decision rule in developing interactive multiobjective programming.

TL;DR: In this article, the authors consider a class of problems in stochastic control theory with small parameters and develop a systematic methodology for their analysis using both analytical and probabilistic methods adapted to the special structures of singularly perturbed stochastically control problems.

TL;DR: In this article, the concept of structural invariants is used to test zero-input identifiability of finite-dimensional dynamical systems, including polynomial and rational systems.

TL;DR: In this paper, the authors describe the application of the package to a 320 HW fossil fired units equipped with a once-through boiler, and compare the results obtained in simulation with real plant data both concerning transient conditions induced by perturbation of the main input variable and steady state computations for different plant loads.

TL;DR: In this paper, a method to handle large parameter changes in adaptive control is described, and a fault detection procedure is introduced, and the gain in the estimator is increased whenever a fault occurs.

TL;DR: In this paper, a fault identification method based on a parameter estimation procedure estimating the physical process coefficients Pi (like mass, moment of inertia, resistance, etc.) and a subsequent pattern classification algorithm is presented.

TL;DR: An attempt is made to solve the problem of location of failures of components in a complex system by means of state estimation using dedicated observer schemes, using a particular scheme of decentralized observers in the case of components, whose interacting signals are all available.

TL;DR: In this paper, a general formulation of the non-linear filtering problem in Riemannian manifolds is given by use of the strong solutions of the stochastic differential equations for the state and observation processes in the orthonormal frame bundles of the states and observation process manifolds respectively.

TL;DR: In this article, it is shown that the flow invarianoe can be an efficient tool tor a more detailed o-haracterization of the dynamic processes, and a necenary and sufficient condition such that |x(t)|≤γ(t)for each t 0 ≥ 0, for each |x (t 0 )|≤ γ(t 0 ), and for each t ≥ t 0, for each q ≥ q, and for q q 0, q 0, q 0 ≥ q 0 for q 0

TL;DR: In this paper, five different methods including the extended Kalman filter (EKF) and some of its simplifications are applied and tested in on-line estimation of microbial biomass dry weight and its specific rate of change.