Abstract
Undesirable environmental effects of industrial development can be significantly reduced by advanced process control strategies. Although criteria of particular process control problems are often mutually contradictive, a reasonable compromise solution reflecting manufacturing and environmental considerations can be found. This problem presents a challenging task due to the high complexity of typical manufacturing processes. Development of the theoretical fundamentals for the solution of relevant mathematical modeling, control, information, software development and implementation problems is proposed. The study utilizes the principle of binarity formulated for variable-structure systems, Rasumihin's principle (1988) and vector Lyapunov's functions applied to robust multipurpose automatic control systems.